煤层底板突水组合人工神经网络预测
Combined ANN forecast of water-inrush from coal floor
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摘要: 综合考虑水源、水压、隔水层、断层等因素对煤层底板突水的影响 ,采用遗传算法训练人工神经网络 ,建立了煤层底板突水组合人工神经网络预测模型。实例分析表明 ,采用遗传算法训练BP网络明显提高了人工神经网络的预测精度 ,使预测结果更加可靠Abstract: This paper considers comprehensively water source, water pressure,water impedance strata, and fault etc to establish a combined ANN forecast model of water inrush from coal floor by using genetic algorithms to train ANN. The analysis of actual examples indicates the forecast precision of ANN trained by genetic algorithms is obviously enhanced, so that it makes the predicted result more reliable.