JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Online ISSN : 1881-1299
Print ISSN : 0021-9592
Process Systems Engineering
Running Multiple Neural Networks for Process Trend Interpretation
Yoshiyuki Yamashita, Hiroshi Komori, Mutsumi Suzuki
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Keywords: Neural Networks, Fault Detection, Process Monitoring, Adaptive Resonance, Pattern Recognition
JOURNAL RESTRICTED ACCESS

1999 Volume 32 Issue 4 Pages 552-556

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Abstract
An architecture for running multiple ART2 neural networks in parallel is presented. Each of the networks can treat different sizes of clusters. As the result, these multiple networks can show higher performance for detecting new classes. A proposed method is demonstrated for the detection of model changes for time-series models.
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© 1999 The Society of Chemical Engineers, Japan
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