摘要
非线性回归是工程上研究复杂回归问题的一种方法,和线性回归相比,它在处理问题的准确性上优势明显。当前,用神经网络算法研究非线性回归问题是一个热点,而该方法中如何确定最优的网络节点权值是算法关键。本文研究采用蚁群算法来实现神经网络节点的权值最优化,从而使分析更加准确。
Nonlinear regression is a method which is used to study complicated problems in project .By contrast with linear regression ,The former has sharp advantages in accuracy. Currently , Many researchers study nonlinear regression with neural network algorithm , while the key to this method is how to determine node weight and realize optimization .The paper uses ant colony algorithm to achieve the optimization of the weight of network node .so then .the analysis will be more accurate.
出处
《信息与电脑（理论版）》
2009年第12期121-123,共3页
China Computer & Communication
关键词
蚁群算法
神经网络
非线性回归
Ant colony algorithm
neural network
non-linear regression
