基于神经网络的采掘接替优化研究

STUDY ON EXCAVATION REPLACEMENT BASED ON ARTIFICIAL NEURAL NETWORK

矿井采掘计划的编制是典型的不良结构和复杂的技术经济问题。本文采用人工神经网络技术和最优梯度下降算法来构筑ＡＮＮ数据获取器，以此获取采掘技术经济指标，并将ＡＮＮ 模型与计算机模拟相结合对矿井采掘关系进行动态调整与优化。

The draft of coal mine excavation plan is typically an unhealthy structural and complex tech economic problem.The technology of artificial neural network and the descent algorithm of the optimal gradient are used to build ANN data obtainer.Excavation tech economic index can be obtained with it.Moreover,with the combination of ANN model and computer simulation,coal mine excavation is dynamically adjusted and optimized.