当前位置: 首页 > 文章 > 煤矿企业可持续发展BP神经网络预测 山东农业大学学报(自然科学版) 2009,40 (3) 416-420
Position: Home > Articles > MINING ENTERPRISE SUSTAINABLE DEVELOPMENT BP NEURAL NETWORK FORECAST Journal of Shandong Agricultural University(Natural Science Edition) 2009,40 (3) 416-420

煤矿企业可持续发展BP神经网络预测

作  者:
王有良;唐跃刚
单  位:
中国矿业大学;山东农业大学信息与工程学院
关键词:
煤矿企业;BP神经网络;样本;可持续发展
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。
译  名:
MINING ENTERPRISE SUSTAINABLE DEVELOPMENT BP NEURAL NETWORK FORECAST
作  者:
WANG You-liang1,2,TANG Yue-gang1(1.China University or Mining and Technology,Beijing 100083,China2.College of Information Science and Engineering Shandong Agricultural University,Taian 271018,China)
关键词:
Mining city;BP neural network;sample;sustainable development
摘  要:
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.

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