| Research on Optimizing the Hidden Layer Structure of ANN-Based Model and Its Application in Predicting End-Quench Curves of Steels |
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| 作者姓名： | Liang Wu Weisheng Gu School of Mechanical Engineering. Dong Hua University Shanghai China |
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| 作者单位： | Liang Wu，Weisheng Gu School of Mechanical Engineering. Dong Hua University，Shanghai 200050，China |
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| 摘 要： | IotroductionArtificialneurainetWork(ANN)isahadofinformatboProcessingsystem.ItconsistsofrnanprocessingwtwhichareWandsbolyconnectedoneanothetarerstudying,AN'NcangetinfbrmatiofromtrainjngdaaandcancoirectiyfulunthenoIiljnarmappinghominPuttooutPu.Furthrmore,theest8blishedmodelofANNcanbeusedtopredicttheinfluenceofinputparamt6rsonoutPutvaines.AN'NtechnulgyhasbeenwidelyusedinmaterialandheatndelltdisciPllnebecauseofthepropertieswttonedabove.VNaIayanataillusedaneurainetWorktOestirnatehottorsi…
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Research on Optimizing the Hidden Layer Structure of ANN-Based Model and Its Application in Predicting End-Quench Curves of Steels |
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| Liang Wu,Weisheng Gu School of Mechanical Engineering. Dong Hua University,Shanghai ,China.Research on Optimizing the Hidden Layer Structure of ANN-Based Model and Its Application in Predicting End-Quench Curves of Steels[J].Journal of Shanghai Jiaotong university,2000(1). |
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| Authors: | Liang Wu Weisheng Gu School of Mechanical Engineering Dong Hua University Shanghai China |
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| Institution: | Liang Wu,Weisheng Gu School of Mechanical Engineering. Dong Hua University,Shanghai 200050,China |
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| Abstract: | In this paper, a method of optimizing the number of hidden layer neurons has been put forward. This optimizing method is suitable for three layers B-p network. The purpose of this optimizing method is to reduce the predicting errors when the model is used as predicting model. As an example of application, a predicting model of steel end-quench curves has been designed by using this optimizing method. The result shows that the optimization of ANN hidden layer architecture has an effect on reducing predicting errors. |
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| Keywords: | Optimization ANN Prediction End-Quench Curves Model |
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