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Immune Feedforward Neural Network for Fault Detection

Xiaoping CHEN( ), He HUANG
School of Electronics & Information Engineering, Soochow University, Suzhou 215006, China
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Abstract

An immune algorithm-based approach was developed to optimize a feedforward neural network. The network architecture, activation functions, and training method were encoded as individuals with an appropriate method for individual selection. The immune feedforward neural network is then applied to fault detection of water quality monitoring equipment. This gives better performance than a feedforward neural network.

Keywords

immune algorithmartificial neural network (ANN)fault detection

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Tsinghua Science and Technology
Volume 16 Issue 3,
June 2011
Pages 272-277
DOI: 10.1016/S1007-0214(11)70039-6

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Cite this article:
CHEN X, HUANG H. Immune Feedforward Neural Network for Fault Detection. Tsinghua Science and Technology, 2011, 16(3): 272-277. https://doi.org/10.1016/S1007-0214(11)70039-6

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Received: 09 March 2011
Revised: 28 March 2011
Published: 01 June 2011
© Tsinghua University Press 2011