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Preface to the special issue on "Application of Neural Network Analysis in Materials Science" |
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H. Fujii and H.K.D.H. Bhadeshia.....965 |
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Review |
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Neural networks in materials science |
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H.K.D.H. Bhadeshia.....966 |
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Regular article |
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Statistical modelling of mechanical tensile properties of steels by using neural networks and multivariate analysis |
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C. Dumortier, P. Lehert and Y. Riquier.....980 |
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Petri neural network model for the effect of controlled thermomechanical process parameters on the mechanical properties of HSLA steels |
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S. Datta, J. Sil and M.K. Banerjee.....986 |
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The application of constitutive and artificial neural network models to predict the hot strength of steels |
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L. Kong and P.D. Hodgson.....991 |
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Estimation of hot torsion stress strain curves in iron alloys using a neural network analysis |
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V. Narayan, R. Abad, B. Lopez, H.K.D.H. Bhadeshia and D.J.C. MacKay.....999 |
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Application of neural networks to mechanical property determination of Ni-base superalloys |
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J Warde and D.M. Knowles.....1006 |
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Use of neural networks for alloy design |
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J. Warde and D.M. Knowles.....1015 |
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Comparison of artificial neural networks with gaussian processes to model the yield strength of nickel-base superalloys |
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F. Tancret, H.K.D.H. Bhadeshia and D.J.C Mackey.....1020 |
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Data pre-processing/model initialisation in neurofuzzy modelling of structure-property relationships in Al-Zn-Mg-Cu-alloys |
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O.P. Femminella, M.J. Starink, M. Brown, I. Sinclair, C.J. Harris and P.A.S. Reed .....1027 |
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Effects of carbon concentration and cooling rate on continuous cooling transformations predicted by artificial neural network |
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J. Wang, P.J van der Wolk and S. van der Zwaag .....1038 |
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Forecasting of decreasing heat levels in the blast furnace using a self organization feature maps neural network model |
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Y. Otsuka, M. Konishi, K. Hanaoka and T. Maki .....1047 |
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Mold level control in continuous caster by neural network model |
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T. Watanabe, K. Omura, M. Konishi, S. Watanabe and K. Furukawa .....1053 |
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Application of neural networks for quality evaluation of resistance spot welds |
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U. Dilthey and J. Dickersbach .....1061 |
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Using CI-methods for parameter scheduling,quality control and weld geometry determination in GMA-welding |
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U. Dilthey and J. Heidrich .....1067 |
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Measurement of molten pool shape and penetration control applying neural network in TIG welding of thin steel plates |
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Y. Suga, T. Shimamura, S. Usui and K. Aoki .....1075 |
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Application of artificial neural network to discrimination of defect type in automatic radiographic testing of welds |
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K. Aoki and Y. Suga .....1081 |
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Neural network applied to welding : two examples |
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J. M Vitek.....108 |
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A neural network approach to the prediction of submerged arc weld metal chemistry |
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R. Thomson, F.J. Perez-Perez, A.D. Wartens and G. Thewlis.....1096 |