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人工神经网络中的样本对输出精度影响分析
引用本文:宋绍云,白金荣.人工神经网络中的样本对输出精度影响分析[J].价值工程,2010,29(7):144-145.
作者姓名:宋绍云  白金荣
作者单位:玉溪师范学院信息技术工程学院,玉溪,653100
摘    要:影响人工神经网络模型输出结果精度的技术引起广泛重视,样本质量对神经网络输出精度影响的研究不多,研究多数是针对神经网络结构(层数及节点数),本文分析样本对人工神经网络输出的影响,对提高神经网络的输出结果精度有重要的意义。

关 键 词:人工神经网络  局部影响  BP神经网络  算法

The Local Impact Analysis in Artificial Neural Networks
Song Shaoyun,Bai Jinrong.The Local Impact Analysis in Artificial Neural Networks[J].Value Engineering,2010,29(7):144-145.
Authors:Song Shaoyun  Bai Jinrong
Institution:Information Technology Engineering College/a>;Yuxi Normal University/a>;Yuxi 653100/a>;China
Abstract:The technology of affecting the output accuracy of artificial neural network model has affected widespread ettention,and influence researches of sample quality to neural network output accuracy are very few,and the majority of these researcher about neural network structure.This paper analyses the influence of the sample to the output of artificial neural network,having important significance to improve accuracy of neural network output.
Keywords:artificial neural networks  local influence  BP neural network  algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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