摘要
在分析构造性神经网络集成和层状神经网络集成方法的基础上,提出了一种构造性层状神经网络集成方法。该方法自动确定神经网络集成中成员神经网络的数目,以及成员神经网络的结构等。集成在保证成员神经网络精度的同时,又保证了成员网络之间的差异度。用户只需要简单定义一些参数,就可以构造出性能较好的神经网络集成。
Through the analysis the work of constructive algorithm and nappe neural networks,the constructive algorithm for training nappe neural network ensembles is proposed.The proposed method constructs the ensembles automatically.So it improves the accuracy of the individual networks while increasing the diversity among the individual networks.And this method helps the users with little experience in using neural networks to design the ensembles architecture.Compared with standard ensembles in solving several problems this methods with excellent performance.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第18期41-43,共3页
Computer Engineering and Applications
基金
南通大学自然科学基金项目(No.06Z057)
关键词
神经网络集成
层状模型
构造算法
neural network ensembles
nappe ensemble
constructive algorithm
