Artificial neural networks reinforcement

C. Hoskins and D.M. Himmelblau, Process Control via artificial Neural networks and reinforced learning. Computers Chem. Eng., 16 (1992) 241-251. 

Mishra, R., Malik, J. and Singh, 1. (2010) Prediction of drilling-induced damage in unidirectional glass fiber reinforced plastic laminates using an artificial neural network, PI MECH ENG B-J ENG, 224 733-8. 

After mix design methods of historical importance mentioned in Section 12.5, there is a trend to base all methods on rational bases, which obviously include optimization aimed at the most economical mixture composition, satisfying all imposed requirements, but reducing the number of consecutive trials. Here various approaches are noted from the analytical to the application of the ANN (artificial neural networks). Mathematical programming techniques were successfully applied by Karihaloo (2000) for optimization of HPS fibre-reinforced concrete for high tensile strength and high ductility. 

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