Evolutionary Three-Stage Approach for Designing of Neural Networks Ensembles for Classification Problems
Evolutionary Three-Stage Approach for Designing of Neural Networks Ensembles for Classification Problems
复制标题
用于设计分类问题神经网络集成的进化三阶段方法
DOI：
10.1007/978-3-642-38703-6_55
复制
发表时间：
2013
影响因子：
3
通讯作者：
E. Semenkin
中科院分区：
文献类型：
--
作者：
V. Bukhtoyarov;E. Semenkin
使用的神经网络集成方法解决分类问题进行了讨论。简要回顾了神经网络集成的形成方法和分类器集成中解决方案的组合方法。阐述了神经网络集成自动设计的综合进化方法的主要思想。一个新的变种的三阶段进化的神经网络集成决策方法提出了分类问题。的技术和结果的比较统计调查的各种方法产生的合奏决定几个著名的测试问题。
The use of the neural network ensemble approach for solving classification problems is discussed. Methods for forming ensembles of neural networks and methods for combining solutions in ensembles of classifiers are reviewed briefly. The main ideas of comprehensive evolutionary approach for automatic design of neural network ensembles are described. A new variant of a three-stage evolutionary approach to decision making in ensembles of neural networks is proposed for classification problems. The technique and results of a comparative statistical investigation of various methods for producing of ensembles decisions on several well-known test problems are given.