Neural Networks Analysis of Steel Plate Processing Augmented by Multi‐objective Genetic Algorithms |
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Authors: | F. Pettersson N. Chakraborti S.B. Singh |
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Affiliation: | 1. Faculty of Technology, Heat Engineering Laboratory, ?bo Akademi University, Biskopsgatan 8, FIN‐20500 ?bo, Finland;2. Department of Metallurgical & Materials Engineering, Indian Institute of Technology, Kharagpur, 721 302 India |
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Abstract: | An earlier neural network analysis of processing of steel plates through hot rolling was subjected to a further refined analysis through some flexible neural networks that evolved using a multi‐objective predator‐prey genetic algorithm. The original data set expressing the Yield Strength and Ultimate Tensile Strength of the rolled slabs in terms of a total of 108 process variables were subjected to a systematic pruning through this evolutionary approach, till the nitrogen content of the steel emerged as the most significant input variable. A theoretical explanation is provided for this slightly unexpected result. |
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Keywords: | multi‐objective optimization genetic algorithms neutral net |
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