BP神经网络逼近正弦函数

本次实验主要是让大家对BP网络设计进一步了解和认识，熟悉BP网络，熟知BP学习算法的原理以及其在MATLAB中的程序实现，在掌握这些基本原理的同时用BP神经网络逼近正弦函数。

BP网络有很强的映射能力，主要用于模式识别和函数逼近。可以采用BP网络函数逼近的能力来求解数学式难以表达的函数。本实验采用一个三层BP网络，看它如何逼近一个正弦函数的。-BP neural network to approach the sine function

The main experiment is to let everyone on the BP network design further understanding and knowledge, familiar with BP network, known as BP learning algorithm principle and its program in MATLAB to achieve, in mastering these basic principles, while BP neural network to approach with the sine function.

BP has a strong network mapping capabilities, mainly used for pattern recognition and function approximation. Ability BP network function approximation function can be used to solve the equation difficult to express. In this study, a three BP network, to see how it approximate a sinusoidal function.