Title of article
Immune Feedforward Neural Network for Fault Detection
Author/Authors
CHEN, Xiaoping Soochow University - School of Electronics Information Engineering, China , HUANG, He Soochow University - School of Electronics Information Engineering, China
From page
272
To page
277
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 algorithm , artificial neural network (ANN) , fault detection
Journal title
Tsinghua Science and Technology
Journal title
Tsinghua Science and Technology
Record number
2535382
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