journal6 ›› 2012, Vol. 33 ›› Issue (5): 34-38.DOI: 10.3969/j.issn.1007-2985.2012.05.009
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摘要：基于BP神经网络理论，利用实验数据对连接权系数和结点阈值自学习确定，从而建立BP神经网络模型，采用BP神经网络模型比回归方程形式数学模型具有更小的方差，能够寻找到最优的工艺条件.
关键词： 数学模型, BP神经网络, 回归分析法, 数据处理
Abstract: According to BP neural network theory,experimental data are used to determine the connection weight parameters and node thresholds,so as to establish the BP neural network model.BP neural network model has a smaller variance than the mathematical model with the form of regression equation,which can be used to find the optimum process conditions.
Key words: math model, BP neural network, linear regression analysis, data processing
卢万银. 基于BP网络多指标多因素最优工艺参数分析[J]. journal6, 2012, 33(5): 34-38.
LU Wan-Yin. Multi-Index and Multi-Factor Analysis of the Optimal Process Parameters Based on BP Neural Network[J]. journal6, 2012, 33(5): 34-38.
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链接本文: https://zkxb.jsu.edu.cn/CN/10.3969/j.issn.1007-2985.2012.05.009
https://zkxb.jsu.edu.cn/CN/Y2012/V33/I5/34
