工程爆破

1999, (04) 25-29

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神经网络模型在台阶爆破块度预测中的应用
APPLICATION OF NEURAL NETWORKMODEL IN PREDICTION OF ROCKFRAGMENTATION OF BENCH BLASTING

段宝福,费鸿禄
Duan Baofu;Fei Honglu(Liaoning Technical University, Fuxin 123000)

摘要(Abstract):

爆破块度的预测是一项比较复杂的课题。鉴于以往预测爆破块度的方法存在着某些不足,本文在神经网络理论的基础上,建立了爆破块度预测的神经网络模型,并在台阶爆破中应用。通过网络模型与R—R分布式和G—G—S经验模型的比较,验证了利用神经网络模型预测爆破块度的可靠性。
The prediction of rock fragmentation by blasting is a complex problem. Asthe old solutions have some shortcomings, the neutral network model has been developed. And used for the prediction of fragmentation in bench blasting.Through comparing with R-R model and G-G-S model, its reliability has been confirmed.

关键词(KeyWords): 神经网络模型;BP网络;爆破块度;预测
Neutral network model BP networkRock fragmentation by blasting Prediction

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作者(Authors): 段宝福,费鸿禄
Duan Baofu;Fei Honglu(Liaoning Technical University, Fuxin 123000)

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