Determination of Safety Assessment Factors Weight Based on Genetic Neural Networks
Wang Zhijun, Zhongliang Lu · 2010
A new method of neural networks based on genetic algorithm is put forward for factors weight determination of safety assessment in the paper. The procedure on optimizing neural networks by genetic algorithm is expatiated. How to pick up the information of factors weight from the network link weight after training is analyzed in detail. The influence of primary network weight on final determination result could be eliminated by symbolic statistics. Experiment shows that the method is highly operational with high accuracy. This method can determine the influence of factors on effect-variable effectively and evaluate the behavior of system safety.