论文信息 - 9 – Metallurgical Modelling of Thermomechanical Processing - 字舞流文

9 – Metallurgical Modelling of Thermomechanical Processing

C. M. Sellars | C. Sellars

[1] E. Mizutani,et al. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[2] C. M. Sellars,et al. Modelling Microstructure and Its Effects during Multipass Hot Rolling , 1992 .

[3] Maysam F. Abbod,et al. Hybrid modelling of aluminium–magnesium alloys during thermomechanical processing in terms of physically-based, neuro-fuzzy and finite element models , 2003 .

[4] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[5] C. M. Sellars,et al. Strengthening of austenite by niobium during hot rolling of microalloyed steel , 1986 .

[6] C. M. Sellars,et al. Precipitation of NbC in a model austenitic steel , 2002 .

[7] Martin T. Hagan,et al. Neural network design , 1995 .

[8] C. M. Sellars,et al. The effect of boundary conditions on the predicted through thickness microstructural gradient in hot rolling , 1995 .