实现小波变换调用upcoef 函数，根据近似（低频）分量和细节（高频）分量进行重构-Wavelet transform to achieve upcoef function call, according to approximation (low frequency) component and details (high frequency) component is reconstructed

这是一个用小波神经网络进行非线性函数逼近的例子，拟合效果非常好，保证能运行！有详细注释！我是参考《青岛海洋大学学报》 2001年第1期 一种基于BP算法学习的小波神经网络编写的，大家可以针对原文更好的理解我的程序！-This is a wavelet neural network with nonlinear function approximation example of fitting results is very good, guaranteed to run! Detailed N

基于小波神经网络的非线性函数逼近，及其MATLAB程序(Approximation of nonlinear function based on Wavelet Neural Network)