Designing High Strength Multi-phase Steel for Improved Strength-Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms

@article{Datta2007DesigningHS,
  title={Designing High Strength Multi-phase Steel for Improved Strength-Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms},
  author={S. Datta and F. Pettersson and S. Ganguly and H. Sax{\'e}n and N. Chakraborti},
  journal={Isij International},
  year={2007},
  volume={47},
  pages={1195-1203}
}
The properties of steels depend in a complex way on their composition and heat treatment and neural networks have therefore recently been widely used for capturing these relationships. Two different methods of reducing the network connectivity, viz a pruning algorithm and a multi-objective predator prey genetic algorithm, have been used for neural network modeling of the mechanical properties of high strength steels, so that relevant connections within the networks are revealed. This provides… Expand
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