摘要
在马兰庄铁矿生产爆破中,运用神经网络方法,建立了爆破地震效应的神经网络模型。该模型利用马兰庄铁矿生产爆破数据为基础,建立训练样本,并在生产爆破中进行实际预测,取得了良好的效果。
In producing blasting of Malanzhuang Iron Mine, applying the neural network measure, a neural network model has been set up. This model is trained utilizing actual data, and forecasts seismic effects in producing. Its result is very well.
出处
《中国钼业》
2005年第5期20-22,共3页
China Molybdenum Industry
关键词
爆破地震效应
神经网络
预测
blasting vibration effects
neural network
forecast
