基于遗传算法的神经网络分类器

Neural Network Classmer Based on Genetic Algorithm

本文基于遗传算法和级联相关算法的组合，提出了遗传辅助级联相关学习算法。该算法能够根据问题的需要自动设计网络结构，同时能有效地消除竞争协议问题。实验结果表明，与级联相关算法相比，它具有结构紧凑，泛化能力好等优点。

Based on genetic technique and cascade correlation algorithm,a new constructive algorithm for connectionistlearning,genetic aided cascade correlation algorithm,is proposed It can automatically grow the architecture ofne ural network to give a suitable n etwork size for a spoc ific problem and is free of the competing conventionsproblem. Experimental results show that the network obtained with our technique is of small size and has ex-cellent performance compared with the normal cascade correlation learning algorithm.(