摘要
介绍了人工神经网络的基本原理，建立了采煤工作面基本顶分级与支护强度确定、底板分类与支柱底座选型的人工神经网格（ＳＰ网络）模型，并通过邻域相互作用算法与ＢＰ网格耦合，预测了采面顶板来压。
Artificial neural networks are applied to two distinct aspects of the strata control in coal mine.The first aspect is the main roof classification and support capacity determination by means of adaptive learning and associating in BP(Back Propagation)algorithms.The second aspect in the prediction of the likely future weighting of main roof through hybrid algorithms of the neighbourhood interaction operation and neural networks.
基金
贵州省自然科学基金
关键词
神经网络
采场
围岩
稳定性
预测控制
artificial neural networks,longwall stope,surrounding rock,stability,prediction and control
