岩体微裂隙注浆量预测分析的遗传神经网络方法
The genetic algorithm-neural network method to forecast the miniature crack grouting in rock matrix
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摘要: 提出一种用于岩体微裂隙注浆预测新方法———遗传神经网络方法 ,即用遗传算法优化神经网络结构 ,提高神经网络预测能力的新方法。实际工程实例表明 ,该方法具有预测速度快、精度高、实用性强的特点 ,是注浆量预测的有效方法Abstract: This paper provides a new forecasting method for miniature crack grouting in rock matrix-the genetic algorithm neural network method, that is a new method to optimize the neutral network structure,and to promote the forecasting ability of the neural network using genetic algorithm.A practical example shows that it is an effective method with rapid forecasting speed,high precision and strong practicability.