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Volumn , Issue , 2009, Pages 3481-3486

Design of online soft sensors based on combined adaptive PCA and DMLP neural networks

Author keywords

Industrial distillation column; Neural network; PCA; Soft sensor

Indexed keywords

ADAPTIVE PCA; ARTIFICIAL NEURAL NETWORK; BENCH-MARK PROBLEMS; CHEMICAL PROCESS; HIGH COSTS; HIGH DIMENSIONS; HIGHLY NONLINEAR; INDUSTRIAL DISTILLATION COLUMN; MONITORING AND CONTROLLING; MULTI-LAYERED; ON-LINE MEASUREMENT; PCA; PERCEPTRON; SIMULATION RESULT; SLIDING WINDOW; SOFT SENSOR; SOFT SENSORS;

EID: 70449346445     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2009.5192459     Document Type: Conference Paper
Times cited : (11)

References (10)
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  • 2
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  • 3
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  • 4
    • 36749052831 scopus 로고    scopus 로고
    • Monitoring a complex refining process using multivariate statistics
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    • AlGhazzawi, A.1    Lennox, B.2
  • 5
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    • Modeling and control of a packed distillation column using artificial neural networks
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  • 6
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  • 8
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    • Development and benchmarking of multivariate statistical process control tools for a semiconductor etch process; improving robustness through model updating
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.