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Genetic algorithm (GA) is applied to select main affecting factors of coal and gas outburst to solve the over-fitting problem of BP neural network (NN) in predicting coal and gas outburst, and a modified BP NN predictor is established, which input variables are the factors selected. In our GA, chromosome is a binary encoding which each gene corresponds to a variable, penalty function is introduced...
Traditional method used to determine best welding parameters is depended mainly on experience and is lack of precision. So a new hybrid method combined GA with BP to search proper arc-welding parameters automatically is proposed here, the main contents are described as follows. Testing schema is designed according to orthogonal form, data used for later work are obtained at first; then a BP neural...
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