BP算法例子：用一个五层的神经网络去逼近函数f(x1,x2)=pow(x1-1,4)+2*pow(x2,2)-BP algorithm is an example: with a five-layer neural network to approximate the function f (x1, x2) = pow (x1-1, 4)+2* pow (x2, 2)

pow为幂法计算，求解矩阵的特征值和特征向量，本文提供了算例和程序-pow method for the power, solve the matrix eigenvalue and eigenvector, the paper provides examples and procedures

用遗传算法求y=x*sin(10*pi*x)+2的最大值 -1=<x<=2 精确到6位小数 pow(2,21)<3*1000000<pow(2,22) 编码的二进制长度为22 (Using genetic algorithms seek y = x* sin (10* pi* x)+2 maximum-1 = <x<=2)