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Immune Feedforward Neural Network for Fault Detection
Authors:CHEN Xiaoping  HUANG He
Affiliation:CHEN Xiaoping,HUANG He School of Electronics & Information Engineering,Soochow University,Suzhou 215006,China
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 ap- propriate 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 algorithm  artificial neural network (ANN)  fault detection  
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