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