TWI744518B - 用於通過近紅外光譜學和機器學習技術在製造過程中進行端點檢測之設備和方法，及相關電腦可讀取媒體 - Google Patents

用於通過近紅外光譜學和機器學習技術在製造過程中進行端點檢測之設備和方法，及相關電腦可讀取媒體 Download PDF

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TWI744518B
TWI744518B TW107113053A TW107113053A TWI744518B TW I744518 B TWI744518 B TW I744518B TW 107113053 A TW107113053 A TW 107113053A TW 107113053 A TW107113053 A TW 107113053A TW I744518 B TWI744518 B TW I744518B
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manufacturing process
classification model
time
state
svm classification
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TW201843600A (zh
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章民 熊
鵬 鄒
孫嵐
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美商菲爾薇解析公司
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning

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  • Investigating Or Analysing Materials By Optical Means (AREA)
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TW107113053A 2017-05-04 2018-04-17 用於通過近紅外光譜學和機器學習技術在製造過程中進行端點檢測之設備和方法，及相關電腦可讀取媒體 TWI744518B (zh)

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US15/586,678 US10984334B2 (en) 2017-05-04 2017-05-04 Endpoint detection in manufacturing process by near infrared spectroscopy and machine learning techniques
US15/586,678 2017-05-04

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TW110136910A TWI825490B (zh) 2017-05-04 2018-04-17 用於通過近紅外光譜學和機器學習技術在製造過程中進行端點檢測之設備和方法，及相關電腦可讀取媒體
TW111150433A TW202318276A (zh) 2017-05-04 2018-04-17 用於通過近紅外光譜學和機器學習技術在製造過程中進行端點檢測之設備和方法，及相關電腦可讀取媒體

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TW111150433A TW202318276A (zh) 2017-05-04 2018-04-17 用於通過近紅外光譜學和機器學習技術在製造過程中進行端點檢測之設備和方法，及相關電腦可讀取媒體

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KR102576834B1 (ko) 2023-09-08
TW201843600A (zh) 2018-12-16
TW202203098A (zh) 2022-01-16
US10984334B2 (en) 2021-04-20
HK1257430A1 (zh) 2019-10-18
CN108805168A (zh) 2018-11-13
EP3399472C0 (en) 2024-07-17
JP7237124B2 (ja) 2023-03-10
CN108805168B (zh) 2023-10-13
EP4553722A1 (en) 2025-05-14
CN117290780A (zh) 2023-12-26
EP3399472A1 (en) 2018-11-07
TW202318276A (zh) 2023-05-01
EP3399472B1 (en) 2024-07-17
TWI825490B (zh) 2023-12-11
CA3002340A1 (en) 2018-11-04
JP6968745B2 (ja) 2021-11-17
JP2018189638A (ja) 2018-11-29
JP2022017405A (ja) 2022-01-25
HK1257428A1 (en) 2019-10-18
KR20210118029A (ko) 2021-09-29
US20180322399A1 (en) 2018-11-08
KR20180122955A (ko) 2018-11-14
KR102305566B1 (ko) 2021-10-07
US20210224672A1 (en) 2021-07-22

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