节点文献
基于遗传算法的神经网络分类器
Neural Network Classmer Based on Genetic Algorithm
【摘要】 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。
【Abstract】 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.(
【基金】 国家自然科学基金
- 【文献出处】 核电子学与探测技术 ,NUCLEAR ELECTRONICS & DETECTION TECHNOLOGY , 编辑部邮箱 ,1996年03期
- 【分类号】TP18
- 【被引频次】1
- 【下载频次】129