节点文献
利用BP神经网络实现函数逼近
Realization of Function Approximation by Using BP Feed-Forward Neural Network
【摘要】 人工神经网络是一种非线性的动态数学模型,具有很强的函数逼近功能。本文先介绍BP网络结构,然后介绍MATLAB神经网络工具箱中关于神经网络系统设计的函数,并在此基础上设计一个BP网络来验证神经网络的函数逼近能力。
【Abstract】 Artificaial Neural Network are a nonlinear dynamic mathematic model and have a strong ability to approximate function. Here, the structure of BP Feed-Forward Neural Networks and MATLAB toolbox based functions design of Neural Network system are introduced, based on which, a BP Network is designed to verify the ability of function approximation.
【关键词】 BP神经网络;
函数逼近;
MATLAB工具;
仿真;
【Key words】 BP neural networks; function approximation; MATLAB toolbox; simulation;
【Key words】 BP neural networks; function approximation; MATLAB toolbox; simulation;
- 【文献出处】 长江工程职业技术学院学报 ,Journal of Changjiang Vocational University , 编辑部邮箱 ,2005年02期
- 【分类号】TP183
- 【被引频次】8
- 【下载频次】890