Application of fuzzy optimization neural networks in analysis of slope stability
Fang Yun, Bing Sun · Shuiwen dizhi gongcheng dizhi · 2003
With application of fuzzy optimization neural networks theory, a model has been constructed for estimation of slope stability. Similarly, every influence of slope stability is discussed commonly. According to different content of their actions, the different index value is assigned to different influence. By the learning of some samples of slope stability, function pattern in relation to subordinate degree to optimization has been established. It may be seen that this model has high accuracy, fast convergence rate and good model in adjusting index values.