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遗传神经网络在白云鄂博铁矿爆堆质量预测系统中的应用 被引量:2

The application of genetic neural network of quality prediction system to blasting pile in Baiyunebo Iron Ore
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摘要 简要介绍了遗传算法优化BP神经网络的原理和方法。 The theory and the method of optimization in genetic algorithm to neural network are briefly introduced,and basic ideas and result of designing genetic neural network in the quality of blasting pile prediction system after blasting in open stope of metal mine are pointed out,moreover the designed genetic neural network's accuracy and feasibility are validated through a sample with Biyunebo Iron Mine.
出处 《包头钢铁学院学报》 2003年第4期289-292,309,共5页 Journal of Baotou University of Iron and Steel Technology
关键词 遗传算法 BP神经网络 爆堆质量 genetic algorithm neural network quality of blasting pile
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