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硬度转换的神经网络模型
引用本文:王玉,邢渊,阮雪榆.硬度转换的神经网络模型[J].上海交通大学学报,2000,34(10):1376-1377,1381.
作者姓名:王玉  邢渊  阮雪榆
作者单位:上海交通大学塑性成形工程系,上海 200030
摘    要:基于人工神经网络理论,建立了各种硬度值之间相互转换的完整一的神经网络模型,该模型可实现各种硬度之间的线性与非线性映射,并对硬主莆中没有的数据给出准确的预测,克服了查表法的不足,较线性回归具有更高的精度,网络模型可嵌入机械CAD系统中,方便中种硬主之间的转换。

关 键 词:硬度  人工神经网络  转换模型  CAD
文章编号:1006-2467(2000)10-1376-02

Model for Hardness Transformation Based on Neural Network
WANG Yu,XING Yuan,RUAN Xue-yu.Model for Hardness Transformation Based on Neural Network[J].Journal of Shanghai Jiaotong University,2000,34(10):1376-1377,1381.
Authors:WANG Yu  XING Yuan  RUAN Xue-yu
Abstract:An ANN( artificial neural network) model fortransformation of all kinds of hardnesswas estab- lished based on ANN theory. Itcan realize the linearand nonlinearmapping between hardness values,and predict precisely the hardness value that is not present in the table.So it overcomes the shortcomings of hardness transformation table. Compared with the linear regression method,this model can not only deal with the nonlinear mapping between hardness values,butalso reach much higher accuracy.In addition,it can be embedded into a mechanical CAD system to realize hardness transformation conveniently.
Keywords:hardness  artificial neural network (ANN)  transformation
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