摘要
泛化能力是评价BP神经网络的重要指标之一,没有良好的泛化能力,网络就不能够应用和推广.网络样本质量是决定BP神经网络能否训练成功的关键要素.对目前常用的几种样本处理方法进行总结和归纳,比较了每种处理方法的优劣.
Generalization ability is one important index for BP neural network.The network cannot implemented or promoted without a good generalization ability.Among numerous factors affecting the BP neural network generalization ability,network sample quality is a key to determining the success of the BP neural network training.In this paper,a number of commonly used sample processing methods are summa-rized and classified.Comparisons are made among various approaches in terms of their advantages and disadvantages.Future research has been proposed in the sample processing methods.
出处
《内蒙古师范大学学报(自然科学汉文版)》
CAS
北大核心
2015年第4期520-522,共3页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
内蒙古自然科学基金资助项目(2014MS0119)