CN105426959B - Aluminium electroloysis energy-saving and emission-reduction method based on BP neural network Yu adaptive M BFO algorithms - Google Patents
Aluminium electroloysis energy-saving and emission-reduction method based on BP neural network Yu adaptive M BFO algorithms Download PDFInfo
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- CN105426959B CN105426959B CN201510750725.7A CN201510750725A CN105426959B CN 105426959 B CN105426959 B CN 105426959B CN 201510750725 A CN201510750725 A CN 201510750725A CN 105426959 B CN105426959 B CN 105426959B
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- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 47
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 35
- 239000004411 aluminium Substances 0.000 title claims abstract description 31
- 238000013528 artificial neural network Methods 0.000 title claims abstract description 25
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 16
- 241000894006 Bacteria Species 0.000 claims abstract description 64
- 239000005431 greenhouse gas Substances 0.000 claims abstract description 28
- 238000004519 manufacturing process Methods 0.000 claims abstract description 19
- 235000013305 food Nutrition 0.000 claims abstract description 12
- 238000005457 optimization Methods 0.000 claims abstract description 11
- 230000006870 function Effects 0.000 claims description 39
- 210000002569 neuron Anatomy 0.000 claims description 22
- 230000036541 health Effects 0.000 claims description 12
- 238000012549 training Methods 0.000 claims description 10
- 210000004027 cell Anatomy 0.000 claims description 7
- AZDRQVAHHNSJOQ-UHFFFAOYSA-N alumane Chemical compound [AlH3] AZDRQVAHHNSJOQ-UHFFFAOYSA-N 0.000 claims description 6
- 230000001174 ascending effect Effects 0.000 claims description 6
- 230000008901 benefit Effects 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000013459 approach Methods 0.000 claims description 4
- 230000006399 behavior Effects 0.000 claims description 4
- 230000001580 bacterial effect Effects 0.000 claims description 3
- 230000004087 circulation Effects 0.000 claims description 3
- 239000003792 electrolyte Substances 0.000 claims description 3
- 239000003016 pheromone Substances 0.000 claims description 3
- 108090000623 proteins and genes Proteins 0.000 claims description 3
- 238000009790 rate-determining step (RDS) Methods 0.000 claims description 3
- 230000009897 systematic effect Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 2
- 241000207187 Candidatus Legionella jeonii Species 0.000 claims 1
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 238000005868 electrolysis reaction Methods 0.000 abstract description 14
- 230000008569 process Effects 0.000 abstract description 9
- 238000004364 calculation method Methods 0.000 description 4
- 238000012360 testing method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000007935 neutral effect Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 238000004131 Bayer process Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000010429 evolutionary process Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 239000012774 insulation material Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- TXEYQDLBPFQVAA-UHFFFAOYSA-N tetrafluoromethane Chemical compound FC(F)(F)F TXEYQDLBPFQVAA-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/086—Learning methods using evolutionary algorithms, e.g. genetic algorithms or genetic programming
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25C—PROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
- C25C3/00—Electrolytic production, recovery or refining of metals by electrolysis of melts
- C25C3/06—Electrolytic production, recovery or refining of metals by electrolysis of melts of aluminium
- C25C3/20—Automatic control or regulation of cells
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
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- Computing Systems (AREA)
- Evolutionary Computation (AREA)
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- Electrochemistry (AREA)
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CN201510750725.7A CN105426959B (en) | 2015-11-06 | 2015-11-06 | Aluminium electroloysis energy-saving and emission-reduction method based on BP neural network Yu adaptive M BFO algorithms |
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CN201510750725.7A CN105426959B (en) | 2015-11-06 | 2015-11-06 | Aluminium electroloysis energy-saving and emission-reduction method based on BP neural network Yu adaptive M BFO algorithms |
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CN105426959A CN105426959A (en) | 2016-03-23 |
CN105426959B true CN105426959B (en) | 2018-05-01 |
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CN107309213B (en) * | 2017-08-16 | 2020-01-17 | 吉林省农业科学院 | Red date ultrasonic cleaner control method based on BP neural network |
CN107511823B (en) * | 2017-08-29 | 2019-09-27 | 重庆科技学院 | The method of robot manipulating task track optimizing analysis |
CN110165297A (en) * | 2019-05-31 | 2019-08-23 | 重庆市科学技术研究院 | A kind of procedure parameter selection method of film lithium cell solid electrolyte |
CN117452828B (en) * | 2023-12-22 | 2024-03-01 | 中电行唐生物质能热电有限公司 | Method and system for controlling emission of harmful gas in boiler based on neural network |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6745169B1 (en) * | 1995-07-27 | 2004-06-01 | Siemens Aktiengesellschaft | Learning process for a neural network |
CN102184454A (en) * | 2011-05-26 | 2011-09-14 | 浙江迦南科技股份有限公司 | Granulator formula generation method based on neural network system |
CN104657777A (en) * | 2015-03-16 | 2015-05-27 | 长春工业大学 | Electric wire extrusion molding process parameter optimization method for vehicles based on chaotic wavelet neural network |
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US8538901B2 (en) * | 2010-02-05 | 2013-09-17 | Toyota Motor Engineering & Manufacturing North America, Inc. | Method for approximation of optimal control for nonlinear discrete time systems |
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6745169B1 (en) * | 1995-07-27 | 2004-06-01 | Siemens Aktiengesellschaft | Learning process for a neural network |
CN102184454A (en) * | 2011-05-26 | 2011-09-14 | 浙江迦南科技股份有限公司 | Granulator formula generation method based on neural network system |
CN104657777A (en) * | 2015-03-16 | 2015-05-27 | 长春工业大学 | Electric wire extrusion molding process parameter optimization method for vehicles based on chaotic wavelet neural network |
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Application publication date: 20160323 Assignee: Guangzhou nuobi Electronic Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980052372 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20231220 Application publication date: 20160323 Assignee: Lingteng (Guangzhou) Electronic Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980052367 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20231220 Application publication date: 20160323 Assignee: Guangzhou Taipu Intelligent Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980052361 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20231220 Application publication date: 20160323 Assignee: GUANGZHOU GUOCHUANG TECHNOLOGY Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980052357 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20231220 Application publication date: 20160323 Assignee: GUANGZHOU YIJUN TECHNOLOGY Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980052341 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20231220 Application publication date: 20160323 Assignee: GUANGZHOU XINGYIN TECHNOLOGY Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980052337 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20231220 |
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Application publication date: 20160323 Assignee: WUZHOU JINZHENGYUAN ELECTRONIC TECH. Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980053985 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20231227 |
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Application publication date: 20160323 Assignee: Liaoning Higher Education Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980000653 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240119 Application publication date: 20160323 Assignee: Silk Road Inn (Chongqing) Trading Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980000638 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240119 Application publication date: 20160323 Assignee: Hengdian Wuxia Film and Television (Chongqing) Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980000634 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240119 |
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Application publication date: 20160323 Assignee: Foshan WanChen Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980004249 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240415 Application publication date: 20160323 Assignee: FOSHAN ZHENGRONG TECHNOLOGY Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980004248 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240415 Application publication date: 20160323 Assignee: FOSHAN DOUQI TECHNOLOGY Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980004247 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240415 |
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Application publication date: 20160323 Assignee: Foshan helixing Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980004524 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240419 Application publication date: 20160323 Assignee: Foshan qianshun Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980004523 Denomination of invention: Energy saving and emission reduction method for aluminum electrolysis based on BP neural network and adaptive MBFO algorithm Granted publication date: 20180501 License type: Common License Record date: 20240419 |