Study on the Application of Mixed Genetic-Neural Network in Slope Stability Evaluation
Lei Yang · China Rural Water and Hydropower · 2006
Combining modified Genetic Algorithm and BP Neural Network,the influencing factors for slope stability are analyzed,and a neural network model for the evaluation of slope stability is established.The modified genetic algorithm and self-adaptive BP algorithm are applied in the global optimization and local secondary optimization.Selection of slope is used as an example for the training and verification.The results show that the mixed geneticneural network speeds up the process of training and popularity capacity,suits for the slope stability analysis,and provides support for the evaluation of slope stability.