进化神经网络响应面法在结构可靠性中应用

针对传统可靠性分析方法的缺点，研究了网络拓扑结构和权值自适应调整的进化神经网络响应面，以用于实现隐式功能函数的全局映射。给出了基于遗传算法的神经网络响应面的构建步骤和样本点的选取方法。用训练好的神经网络代替可靠性分析中的有限元计算，大大提高了计算效率。通过工程实例与蒙特卡罗法、传统响应面法进行了对比分析，证明了该方法的有效性和实用性，为大型复杂结构的可靠性分析提供了一条高效的途径。

Evolutionary Neural Network Response Surfaces for Structural Reliability Analysis

To remedy flaws of traditional structural reliability analysis,the evolutionary neural network response surfaces(ENN)were proposed to project actual unknown performance functions.The networks are of self-adaptive topological structures and associated connection weights.And they can be trained to replace the finite element analysis during actual reliability analysis.The key issues of optimizing ENN's structure and weights by Genetic Algorithm(GA),as well as sampling by central composite design are detailed.T...