神经网络在采煤沉陷区水系治理方案中的应用

Application of Neural Networks in Project Optimization of Water System Management in Mining Subsidence

在采煤沉陷区水系治理方案优选中,采用Hopfield神经网络求解优化问题原理,将方案优选问题映射到Hopfield神经网络,建立能量函数模型,求解能量达到最小值时的置换矩阵,由置换矩阵得到方案优选排序,决策者参考方案优选排序结果确定拟采用的水系治理方法。

In project optimization of water system management in mining subsidence, principals of problem optimal solution by Hopfield neural networks was applied. Project optimization issue was mapped into Hopfield neural networks and energy function model was established. Permutation matrix for minimum energy was obtained, by which project optimization order is obtained. Decision maker determines which water system management project is used on the basis of optimization order.