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Design of an auto-associative neural network by using design of experiments approach

Data driven computational intelligence methods have become popular in Fault detection and isolation (FDI) due to relatively quick design and not so difficult implementation on real systems. In this paper a research work on a Taguchi DoE approach for training the auto-associative neural network to ex...

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Bibliografske podrobnosti
Main Authors: Bratina, Božidar. (Author), Muškinja, Nenad. (Author), Tovornik, Boris. (Author)
Format: Book Chapter
Jezik:English
Teme:
umetna inteligenca > nevronske mreže > odkrivanje napak > odpravljanje napak > Taguchi DoE metoda > krmiljenje procesov > kontrola procesov
fault detection > fault isolation > FDI > neural networks > auto-associative neural network > Taguchi DoE method > nonlinear principle components
Sorodne knjige/članki:Vsebovano v: Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, 12th Intenational Conference, Zagreb, Croatia, September 3-5, 2008
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