基于BP模型的煤矿安全管理投入经济分析

为了合理利用有限资源,通过集成AHP与BP神经网络,建立煤矿安全投入综合评价模型,优化赋权,避免了局部最小点误差,使预测结果更加准确。同时考虑到煤矿系统安全投入不平衡的实际情况,结合西方经济学原理,调整生产函数中各要素投入量,利用已验证的BP网络进行二次预测。经验证优化投入会带来更高的经济效益,是未来发展的新方向。

Economic Analysis on Coal Mine Safety Management Input Based on BP Neural Network Model

For the reasonable use of the limited resources,a comprehensive evaluation model for coal mine safety input was established with the integration of AHP and BP neural network,and through the optimization and empowerment,it avoided local minima errors and made the prediction result more accurate.In view of the actual situation that the input for coal mine safety is unbalanced and in accordance with the principles of western economics,each factor input in the production function was adjusted and the secondary prediction was conducted with the verified BP neural network.The test proved that the optimized investment will bring more economic benefits and will be a new development direction in the future.