基于混沌优化模拟神经网络的软土沉降预测分析

Soft soil settlement has been a very important geotechnical problems,and the prediction can offer supports for soft ground engineering design and construction of methodological support. In this paper, we make the full use of analog neural networks fuzzy reasoning ability, ability to handle a number of factors and ability to solve complex linear problems, as well as base on chaos optimization algorithm combining global search capability to establish of the chaotic neural network model for simulation optimization. The results are close by analysising typical case, and comparing known and measured results.It is feasible to predict through the simulation of neural networks based on chaos optimization method of settlement prediction of soft clay in the solution of the problem.