CN109558566A - A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method - Google Patents
A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method Download PDFInfo
- Publication number
- CN109558566A CN109558566A CN201811178721.6A CN201811178721A CN109558566A CN 109558566 A CN109558566 A CN 109558566A CN 201811178721 A CN201811178721 A CN 201811178721A CN 109558566 A CN109558566 A CN 109558566A
- Authority
- CN
- China
- Prior art keywords
- grey
- difference
- chemical synthesis
- pressure chemical
- low
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000003786 synthesis reaction Methods 0.000 title claims abstract description 33
- 238000012545 processing Methods 0.000 title claims abstract description 29
- 239000011888 foil Substances 0.000 title claims abstract description 27
- 239000011159 matrix material Substances 0.000 title claims abstract description 23
- 238000010206 sensitivity analysis Methods 0.000 title claims abstract description 14
- 238000005516 engineering process Methods 0.000 claims abstract description 12
- 230000000694 effects Effects 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims description 13
- 239000002253 acid Substances 0.000 claims description 6
- 239000002699 waste material Substances 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 6
- 230000007547 defect Effects 0.000 abstract description 3
- 238000006243 chemical reaction Methods 0.000 abstract 1
- 239000000126 substance Substances 0.000 abstract 1
- 238000004519 manufacturing process Methods 0.000 description 12
- 230000035945 sensitivity Effects 0.000 description 4
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 3
- 229910052782 aluminium Inorganic materials 0.000 description 3
- 239000003990 capacitor Substances 0.000 description 3
- 239000004411 aluminium Substances 0.000 description 2
- 230000000153 supplemental effect Effects 0.000 description 2
- 108091093018 PVT1 Proteins 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000011031 large-scale manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Data Mining & Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Analysis (AREA)
- Computing Systems (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Algebra (AREA)
- Geometry (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The present invention provides a kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method, comprise steps of determining that the comparison sequence (sub- factor) and reference sequences (female factor) of low pressure chemical synthesis technology parameter, nondimensionalization processing is carried out to sequence and reference sequences data are compared, then the first-order difference of each relatively sequence and reference sequences corresponding element is calculated the sequence after nondimensionalization one by one, and two-stage maximum difference and lowest difference are solved to first-order difference sequence, resolution ratio is set simultaneously by two-stage maximum difference and lowest difference finds out grey incidence coefficient, grey relational grade is finally obtained according to incidence coefficient, and it sorts by the size of its value, it is bigger to be associated with angle value, illustrate that influence of the influence factor to index is bigger, i.e. susceptibility is bigger；Conversely, then more insensitive.The present invention overcomes the defects of traditionally artificial empirical analysis method, have very big practical effect for the adjustment direction of low pressure chemical conversion processing parameter.
Description
Technical field
The present invention relates to capacitor technology fields, more particularly, to a kind of low pressure based on Grey Incidence Matrix method
At foil processing parameter Sensitivity Analysis.
Background technique
Aluminium electrolutic capacitor is the Important Components in electronic product production, and low-pressure chemical synthesis foil is production low-voltage aluminum electrolytic electricity
The anode foils of container are key raw materials.With the development of complete electronic set system and converter technique, it is desirable that alminium electrolytic condenser
Device is towards miniaturization, and Low ESR, low cost, the direction of long-life is developed.In the market increasingly to the demand of low-pressure chemical synthesis foil
Greatly.Currently, the production equipment of the companies such as JCC, KDK and Panasonic, Japan is more advanced, production technology is horizontal high, properties of product
Index such as capacity, pressure rising time, leakage current etc. is in first place in the world.But the manufacturing cost of overseas enterprise is higher, and price is competing
It strives and is in a disadvantageous position.As global aluminium electrolutic capacitor is shifted to China, internal electrode foil enterprise has welcome the opportunity of skill upgrading.
Currently, mainly there is Yangzhou Hongyuan in the producer of domestic large-scale production low-pressure chemical synthesis foil, join in Jiangsu, Zhaoqing Hua Feng etc..Low pressure
Complicated at the production process of foil, governing factor is various, is precisely controlled for production and brings problems.Moreover, technological parameter
Proper Match influences Fabrication of High Specific Capacitance low-pressure chemical synthesis foil performance significant.Therefore, it is especially heavy to obtain low pressure chemical synthesis technology sensitivity to parameter
It wants.In current production, there is biggish subjectivity, and success rate to improve Waste Acid From Hua Cheng Foil performance by adjusting technological parameter
Also there was only 30% or so, this brings biggish challenge to high performance Waste Acid From Hua Cheng Foil is produced.If being capable of going through by analysis production
History data, to analyze the sensibility of low pressure chemical synthesis technology parameter, then adjustment direction for chemical synthesis technology parameter and steady
Fixed production can play very big directive function.
Therefore, it is necessary to develop a kind of method that can analyze low-pressure chemical synthesis foil processing parameter sensibility.
Summary of the invention
The present invention provides a kind of low-pressure chemical synthesis foil processing parameter sensitivity analysis side based on Grey Incidence Matrix method
Method can analyze out low pressure chemical synthesis technology parameter to Waste Acid From Hua Cheng Foil performance sensitivity using this method, overcome traditionally artificial experience
The defect of analysis method, and the characterizing method is convenient and efficient, acquired results accuracy is high, has great practical value.
In order to reach above-mentioned technical effect, technical scheme is as follows:
A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method, feature exist
In, comprising the following steps:
S1, choose reference sequences and compare sequence, specifically include: choosing low-pressure chemical synthesis foil specific volume is that reference sequences constitute square
Battle array Yi(i=1,2 ..., n, n are the data volume chosen), choosing processing parameter is to compare Sequence composition matrix Xij(i=1,
2 ..., n；J=1,2 ..., m, m are the technological parameter number chosen)；
S2, data nondimensionalization, specifically include: due to the amount between low-pressure chemical synthesis foil specific volume and chemical synthesis technology supplemental characteristic
Guiding principle is different and numerical value difference is larger, does not have comparativity, therefore must carry out nondimensionalization processing to initial data, in order to retain
The information of initial data degree of variation carries out nondimensionalization processing, the calculation formula of equalization to data using equalization method
It is as follows:
S3, first-order difference is calculated, specifically included: calculating a scale of each relatively sequence and reference sequences corresponding element
Point, calculation formula is as follows:
Δij=| Y 'i-X’ij| (i=1,2 ..., n；J=1,2 ..., m)
S4, two-stage maximum difference and minimal difference are solved, specifically includes: solution two-stage maximum difference is carried out to first-order difference matrix
With lowest difference, i.e.,
minΔj=min (Δij)；maxΔj=max (Δij) (i=1,2 ..., n；J=1,2 ..., m)
Min min Δ=min (min Δj)；Max max Δ=max (max Δj) (j=1,2 ..., m)
Wherein, minmin Δ is two-stage lowest difference；Maxmax Δ is two-stage maximum difference；
S5, grey incidence coefficient is calculated, specifically included: according to two-stage maximum difference and lowest difference, resolution ratio be set and is calculated
Grey incidence coefficient, calculation formula are as follows:
Wherein, p is resolution ratio, and effect is the significance of difference improved between incidence coefficient, p ∈ [0,1], general p
=0.5；
S6, grey relational grade is calculated, specifically included: grey relational grade, calculation formula are calculated according to grey incidence coefficient
It is as follows:
S7, it sorts by grey correlation angle value size, specifically includes: grey correlation angle value being ranked up, is then analyzed.Ash
The color degree of association is estimating for measurement factor serial correlation degree, is changed between [0,1] section, and association angle value is bigger, is more connect
It is bordering on 1, illustrates that influence of the influence factor to index is bigger, i.e., susceptibility is bigger；Conversely, if the degree of association closer to 0,
It influences more insensitive.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
Grey Incidence Matrix analytic approach is applied to the analysis of low-pressure chemical synthesis foil processing parameter sensitivity assessment by the present invention
On, the sensibility of chemical synthesis technology parameter can be objectively analyzed, the defect of traditionally artificial subjective analysis method is overcome, it should
Method is convenient, fast, acquired results objective reality, and the adjustment direction and steady production of low pressure chemical synthesis technology parameter can be played
Very big directive function.
Detailed description of the invention
Fig. 1 is grey relational grade ordering chart in the embodiment of the present invention.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent actual product
Size；
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing
's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1
A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method, comprising:
S1, reference sequences are chosen and compare sequence.Choosing low-pressure chemical synthesis foil specific volume is that reference sequences constitute matrix Yi(i=
1,2 ..., 200), processing parameter factor is chosen successively are as follows: PVT1 (1), PVT3 (2), PVT4 (3), PVT5 (4), PVT6
(5), (6) PVP1, PVP5 (7), PVP6 (8), PVP8 (9), zl (10), zl2 (11), zl3 (12), FL1 (13), FL2 (14)
FL3 (15), time (16) are to compare Sequence composition matrix Xij(i=1,2 ..., 200；J=1,2 ..., 16)；
S2, data nondimensionalization.Since the dimension between Waste Acid From Hua Cheng Foil specific volume and chemical synthesis technology supplemental characteristic is different and number
Value difference is larger, does not have comparativity, therefore must carry out nondimensionalization processing to initial data, in order to retain initial data variation
The information of degree carries out nondimensionalization processing to data using equalization method, and the calculation formula of equalization is as follows:
S3, the first-order difference for calculating each relatively sequence and reference sequences corresponding element.Its calculation formula is as follows:
Δij=| Y 'i-X’ij|
S4, two-stage maximum difference and minimal difference are solved.Its calculation formula is as follows:
minΔj=min (Δij)；maxΔj=max (Δij) (i=1,2 ..., 200；J=1,2 ..., 16)
Min min Δ=min (min Δj)；Max max Δ=max (max Δj) (j=1,2 ..., 16)
Wherein, minmin Δ is two-stage lowest difference；Maxmax Δ is two-stage maximum difference；
S5, grey incidence coefficient is calculated.According to two-stage maximum difference and lowest difference, resolution ratio is set and calculates grey correlation system
Number, calculation formula are as follows:
Wherein, p is resolution ratio, and effect is the significance of difference improved between incidence coefficient, and p ∈ [0,1] is generally pressed
Minimum information principle, takes p=0.5；
S6, grey relational grade is calculated.Grey relational grade is calculated according to grey incidence coefficient, calculation formula is as follows:
S7, it sorts by grey correlation angle value size.Grey relational grade is estimating for measurement factor serial correlation degree,
Change between [0,1] section, association angle value is bigger, closer to 1, illustrates that influence of the influence factor to index is bigger, i.e., quick
Sensitivity is bigger；Conversely, if the degree of association influences more insensitive closer to 0；
S8, after calculating according to step S1-S7, the grey relational grade of each factor is obtained, and map (see attached drawing 1).It can by figure
Know, the degree of association almost phase of factor PVP6 (8), PVP8 (9), PVP1 (6), PVT3 (2), FL1 (13), PVT4 (3), PVT5 (4)
When the degree of association of factors time (16) is minimum.This illustrates factor PVP6 (8), PVP8 (9), PVP1 (6), PVT3 (2), FL1
(13), PVT4 (3), PVT5 (4) are affected to specific volume, and influence of the factors time (16) to specific volume is minimum, therefore, are producing
Stability contorting PVP6 (8), PVP8 (9), PVP1 (6), PVT3 (2), FL1 (13), PVT4 (3), PVT5 (4) are mainly needed in the process
This 7 processing parameters, can largely stable Waste Acid From Hua Cheng Foil specific volume.
The same or similar label correspond to the same or similar components；
Described in attached drawing positional relationship for only for illustration, should not be understood as the limitation to this patent；
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (8)
1. a kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method, feature exist
In, comprising the following steps:
S1, reference sequences are chosen and compare sequence
S2, data nondimensionalization
S3, first-order difference is calculated
S4, two-stage maximum difference and minimal difference are solved
S5, grey incidence coefficient is calculated
S6, grey relational grade is calculated
S7, it sorts by grey correlation angle value size.
2. the low-pressure chemical synthesis foil processing parameter sensitivity analysis according to claim 1 based on Grey Incidence Matrix method
Method, which is characterized in that selection reference sequences described in step S1 and compare sequence, specifically include: choosing specific volume is with reference to sequence
Column constitute matrix Yi, choosing processing parameter is to compare Sequence composition matrix Xij, wherein i=1,2 ..., n；J=1,2 ...,
M, n are the data volume chosen, and m is the technological parameter number chosen.
3. the low-pressure chemical synthesis foil processing parameter sensitivity analysis according to claim 2 based on Grey Incidence Matrix method
Method, which is characterized in that data nondimensionalization described in step S2 specifically includes: since Waste Acid From Hua Cheng Foil specific volume and chemical synthesis technology are joined
Dimension between number data is different and numerical value difference is larger, does not have comparativity, therefore must carry out dimensionless to initial data
Change processing carries out nondimensionalization processing to data using equalization method, to retain the information of initial data degree of variation
The calculation formula of value is as follows:
4. the low-pressure chemical synthesis foil processing parameter sensitivity analysis according to claim 3 based on Grey Incidence Matrix method
Method, which is characterized in that calculating first-order difference described in step S3 specifically includes: each relatively sequence and reference sequences are calculated
The first-order difference of corresponding element, calculation formula are as follows:
Δij=| Y 'i-X′ij|。
5. the low-pressure chemical synthesis foil processing parameter sensitivity analysis according to claim 4 based on Grey Incidence Matrix method
Method, which is characterized in that solution two-stage maximum difference and minimal difference described in step S4 specifically include: to first-order difference matrix
It carries out solving two-stage maximum difference and lowest difference, it may be assumed that
minΔj=min (Δij)；maxΔj=max (Δij)
Min min Δ=min (min Δj)；Max max Δ=max (max Δj)
Wherein, minmin Δ is two-stage lowest difference；Maxmax Δ is two-stage maximum difference.
6. the low-pressure chemical synthesis foil processing parameter sensitivity analysis according to claim 5 based on Grey Incidence Matrix method
Method, which is characterized in that calculating grey incidence coefficient described in step S5 specifically includes:
According to two-stage maximum difference and lowest difference, resolution ratio is set and calculates grey incidence coefficient, calculation formula is as follows:
Wherein, p is resolution ratio, and effect is the significance of difference improved between incidence coefficient, p ∈ [0,1].
7. the low-pressure chemical synthesis foil processing parameter sensitivity analysis according to claim 6 based on Grey Incidence Matrix method
Method, which is characterized in that calculating grey relational grade described in step S6 specifically includes: grey is calculated according to grey incidence coefficient
The degree of association, calculation formula are as follows:
8. the low-pressure chemical synthesis foil processing parameter sensitivity analysis according to claim 7 based on Grey Incidence Matrix method
Method, which is characterized in that described in step S7 by grey correlation angle value size sort, specifically include: by grey correlation angle value into
Row sequence, is then analyzed.Grey relational grade is estimating for measurement factor serial correlation degree, is changed between [0,1] section,
It is bigger to be associated with angle value, closer to 1, illustrates that influence of the influence factor to index is bigger, i.e., susceptibility is bigger；Conversely, if closing
Connection degree is closer to 0, then its influence is more insensitive.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811178721.6A CN109558566A (en) | 2018-10-10 | 2018-10-10 | A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811178721.6A CN109558566A (en) | 2018-10-10 | 2018-10-10 | A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109558566A true CN109558566A (en) | 2019-04-02 |
Family
ID=65864756
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811178721.6A Pending CN109558566A (en) | 2018-10-10 | 2018-10-10 | A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109558566A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110163480A (en) * | 2019-04-18 | 2019-08-23 | 红云红河烟草(集团)有限责任公司 | Quality auxiliary decision method for wrapping workshop |
| CN113409093A (en) * | 2021-07-13 | 2021-09-17 | 神策网络科技（北京）有限公司 | Index relevance analysis method |
| CN113718327A (en) * | 2021-09-14 | 2021-11-30 | 内蒙古海立电子材料有限公司 | Database and statistical analysis-based formed foil production method |
| CN114999581A (en) * | 2022-06-13 | 2022-09-02 | 华东交通大学 | Time lag identification method and system for rare earth extraction separation process |
| CN115357995A (en) * | 2022-10-21 | 2022-11-18 | 深圳市地铁集团有限公司 | Inter-city railway cloud model data fusion calculation method and device |
| CN115455522A (en) * | 2022-07-22 | 2022-12-09 | 北京交通大学 | Optimization method and device of tunnel supporting system |
| CN115828437A (en) * | 2023-02-17 | 2023-03-21 | 中汽研汽车检验中心（天津）有限公司 | Automobile performance index comprehensive optimization method and computing equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106997196A (en) * | 2017-04-14 | 2017-08-01 | 长江大学 | MDEA decarbonization system analysis methods based on gray relative analysis method |
| CN107392488A (en) * | 2017-07-31 | 2017-11-24 | 太原理工大学 | Slime filter cake moisture influence element assessment method based on grey correlation analysis |
-
2018
- 2018-10-10 CN CN201811178721.6A patent/CN109558566A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106997196A (en) * | 2017-04-14 | 2017-08-01 | 长江大学 | MDEA decarbonization system analysis methods based on gray relative analysis method |
| CN107392488A (en) * | 2017-07-31 | 2017-11-24 | 太原理工大学 | Slime filter cake moisture influence element assessment method based on grey correlation analysis |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110163480A (en) * | 2019-04-18 | 2019-08-23 | 红云红河烟草(集团)有限责任公司 | Quality auxiliary decision method for wrapping workshop |
| CN110163480B (en) * | 2019-04-18 | 2023-04-07 | 红云红河烟草(集团)有限责任公司 | Quality auxiliary decision method for wrapping workshop |
| CN113409093A (en) * | 2021-07-13 | 2021-09-17 | 神策网络科技（北京）有限公司 | Index relevance analysis method |
| CN113718327A (en) * | 2021-09-14 | 2021-11-30 | 内蒙古海立电子材料有限公司 | Database and statistical analysis-based formed foil production method |
| CN114999581A (en) * | 2022-06-13 | 2022-09-02 | 华东交通大学 | Time lag identification method and system for rare earth extraction separation process |
| CN114999581B (en) * | 2022-06-13 | 2023-11-10 | 华东交通大学 | Time lag identification method and system for rare earth extraction and separation process |
| CN115455522A (en) * | 2022-07-22 | 2022-12-09 | 北京交通大学 | Optimization method and device of tunnel supporting system |
| CN115357995A (en) * | 2022-10-21 | 2022-11-18 | 深圳市地铁集团有限公司 | Inter-city railway cloud model data fusion calculation method and device |
| CN115828437A (en) * | 2023-02-17 | 2023-03-21 | 中汽研汽车检验中心（天津）有限公司 | Automobile performance index comprehensive optimization method and computing equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109558566A (en) | A kind of low-pressure chemical synthesis foil processing parameter Sensitivity Analysis based on Grey Incidence Matrix method | |
| CN106529559A (en) | Pointer-type circular multi-dashboard real-time reading identification method | |
| CN105551034B (en) | The preprocess method and device of a kind of image identification of DNA sequencing | |
| CN102955902A (en) | Method and system for evaluating reliability of radar simulation equipment | |
| CN110147843A (en) | Voice Time Series Similar measure based on metric learning | |
| CN104933397A (en) | Image description and image recognition method thereof | |
| CN113484764A (en) | Multi-dimensional impedance spectrum-based retired battery SOH and consistency evaluation method | |
| CN103616889B (en) | A kind of chemical process Fault Classification of reconstructed sample center | |
| CN114596912B (en) | Short peptide histology identification method based on polypeptide length and application thereof | |
| CN101754038A (en) | Parallax extraction method | |
| CN108520533B (en) | Workpiece positioning-oriented multi-dimensional feature registration method | |
| Xie et al. | D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval | |
| CN116304537B (en) | Electricity larceny user checking method based on intelligent measuring terminal | |
| CN110309864B (en) | Collaborative filtering recommendation method fusing local similarity and global similarity | |
| CN108221004B (en) | A kind of measurement method of molten aluminum interface fluctuation | |
| CN113724197B (en) | Thread screwing property judging method based on meta-learning | |
| Wu et al. | A hybrid retention time alignment algorithm for SWATH‐MS data | |
| CN110826573B (en) | Saliency map fusion method and system | |
| CN103471822B (en) | A kind of multiplying power pick-up unit for manual continuous zoom lens | |
| WO2021004355A1 (en) | Decoy library construction method and apparatus, target-decoy library construction method and apparatus, and metabolome fdr identification method and apparatus | |
| CN104134015B (en) | Protein post-translational modification positioning method and protein post-translational modification positioning system | |
| CN110502660B (en) | Multi-distance measurement image retrieval method under weak supervision | |
| CN110619167A (en) | Oil-gas-water three-phase flow phase state critical point identification algorithm based on cluster analysis | |
| CN117907512B (en) | Sewage detection method constructed based on relation between solid phase extraction flow rate and internal standard selection | |
| CN118351983B (en) | Iso-bond reaction construction method for retaining functional group |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190402 |