Running Multiple Neural Networks for Process Trend Interpretation

Yoshiyuki Yamashita; Hiroshi Komori; Mutsumi Suzuki

doi:10.1252/jcej.32.552

Process Systems Engineering

Running Multiple Neural Networks for Process Trend Interpretation

Yoshiyuki Yamashita, Hiroshi Komori, Mutsumi Suzuki

著者情報

キーワード: Neural Networks, Fault Detection, Process Monitoring, Adaptive Resonance, Pattern Recognition

ジャーナル認証あり

1999 年 32 巻 4 号 p. 552-556

DOI https://doi.org/10.1252/jcej.32.552

詳細

抄録

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.

責任著者(Corresponding author)

J-STAGEへの登録はこちら（無料）