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