摘要
探讨了人工神经网络在回归分析领域应用的理论基础,对基于人工神经网络的非线性回归进行了深入的实践分析。以BP网络为例给出了基于人工神经网络的非线性回归实例分析。结果表明利用人工神经网络进行非线性回归是一种良好的数据回归方法,可以方便地应用于解决非线性回归问题。
This paper firstly discusses the theory base and practice analysis of artificial neural network applying in the field of regression analysis.Based on BP network,the example of nonlinear regression by artificial neural networks is given.As a result,it shows that the method of applying the artificial neural network into nonlinear regression is a good data regression and this method can be easily used to solve the practical nonlinear regression problems.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第12期79-82,共4页
Computer Engineering and Applications
基金
江苏省教育厅自然科学基金(编号:Q2118201)
关键词
人工神经网络
非线性回归
理论基础
实践分析
Artificial neural networks,Nonlinear regression,Theory base,Practice analysis
