煤矿企业可持续发展BP神经网络预测  

MINING ENTERPRISE SUSTAINABLE DEVELOPMENT BP NEURAL NETWORK FORECAST

作　　者：王有良[1,2] 唐跃刚[1] 

机构地区：[1]中国矿业大学,北京100083 [2]山东农业大学信息与工程学院,山东泰安271018

出　　处：《山东农业大学学报（自然科学版）》2009年第3期416-420,共5页Journal of Shandong Agricultural University：Natural Science Edition

摘　　要：煤矿企业可持续发展预测系统是一个复杂的系统,在对目前煤炭可持续发展水平评价指标体系分析的基础上,提出了基于人工神经网络的煤矿企业可持续发展预测模式,建立了BP神经网络预测模型,阐述了样本的构建方法,并结合实例进行了分析。模拟结果证明了该模型的有效性,可为煤矿企业的可持续发展提供有价值的参考数据和指导意见。The mining enterprise sustainable development forecast system is a complex system, at the basis of the analysis on the present coal sustainable development level evaluating indicator system, the mining city sustainable development forecast pattern system based on the artificial neural networks had been put forward, and established the BP neural network forecast model, elaborated the sample construction method, and combined with an analysis of examples. The simulation result had proven this model＇s validity, may provide the valuable reference data and the instruction opinion for the mining city sustainable development.

关 键 词：煤矿企业 BP神经网络 样本 可持续发展 

分 类 号：X173[环境科学与工程—环境科学]