Title: Application of the genetic simulated annealing algorithm based on neural network in failure diagnosis
Abstract: The improved arithmetic designed is substituted for the backward propagation process of BP arithmetic.This optimization BP algorithm introduces simulated annealing algorithm to genetic algorithm and have it combined with multilayer perceptrons to form a compounding optimization perceptron. The new perceptron have both the learning ability of the neural network and robustness,and strong random searching ability of genetic algorithm. It isshown by simulated results that the improved arithmetic can greatly improve efficiency and accuracy of Internal Combustion Engine failure diagnosis system.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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