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This paper presents an artificial intelligence approach for the development of predictive models for a CO2 laser cutting of mild steel by using artificial neural networks (ANNs) and real coded genetic algorithm (RCGA). Laser cutting experiment, conducted according to Taguchi’s experimental design using L25 orthogonal array, provided a set of data for the development of ANN models for the prediction...
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