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自平衡人工神经网络算法及其在硅钢生产优化中的应用
引用本文:胡雪萍,刘洪霖.自平衡人工神经网络算法及其在硅钢生产优化中的应用[J].冶金自动化,1996,20(1):38-40.
作者姓名:胡雪萍  刘洪霖
作者单位:中国科学院上海冶金所,安阳钢铁公司
摘    要:分析了人工神经网络模型与预报误差的关系,为避免过拟合或拟合不足,提出新标准以判断网络的总体结构,并将此方法应用于实际硅钢生产中,取得了积极的效果。

关 键 词:神经网络  反向传播算法  硅钢  优化  退火

Self-Balancing ANN algorithm and its application to optimization of silicon steel process
Hu Xueping ,Liu Honglin, Chen Nianyi.Self-Balancing ANN algorithm and its application to optimization of silicon steel process[J].Metallurgical Industry Automation,1996,20(1):38-40.
Authors:Hu Xueping  Liu Honglin  Chen Nianyi
Abstract:he relation between ANN(Artificial Neural Network)algorithm and its prediction error is researched. To avoid the overfitting or under-fitting. a new criterion is suggested to comment on the structure of the network.This method has been applied to industrial processes and interesting results are obtained.
Keywords:ANN-BP algorithm  silicon steel  optimization
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