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
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
