BP学习算法逼近墨西哥草帽函数

在Windows环境中利用Matlab实现BP学习算法在达到期望均方误差最小的情况下正确表达墨西哥草帽函数。

实验目的：1.理解BP神经网络结构模型，初步了解BP网络的用途。

2.学习BP学习算法，掌握误差往回传播网络的构建思想。

3.能够正确使用BP学习算法表达墨西哥草帽函数。

-BP learning algorithm Mexican hat function approximation

BP learning algorithm using Matlab achieve in the Windows environment to achieve the desired mean square error in under minimal expression of Mexican hat function correctly.

Experimental purposes: 1. to understand the structure of BP neural network model, a preliminary understanding of the use BP network.

             　2. Learning BP learning algorithm, master of error back propagation thoughts of constructing the network.

             　3. BP learning algorithm can correctly use the expression of the Mexican hat function.