摘要
煤炭在中国能源的地位是非常重要的,国内大部分地区的能源供应主要依靠煤炭,煤炭的开发和需求也直接影响着国内的经济建设和发展。所以对煤炭的需求预测是必不可少的,目前对中国煤炭的需求预测主要集中在人工智能方面,对国内煤炭的需求精度带来一定的提高。依据决策支持系统的相关理论,在人工智能相关技术的基础上,构建中国煤炭需求预测决策支持系统,针对支持系统的功能、结构和模块设计进行相关研究。
Coal is a kind of very important energy, and it supports energy supply for most area in china. The development and demand of coal directly impact economy of china. It＇s absolutely necessary of the forecast of coal demand. In recent year, artificial neural network is an important technology for coal demand forecast, it can improve accuracy of forecast of coal demand. This paper structures the DSS of forecast of coal demand on the basis of the theory of DSS and ANN, and researches the system objectives, function, structure, and module designs of the system.
出处
《智能计算机与应用》
2013年第1期54-56,共3页
Intelligent Computer and Applications
关键词
煤炭需求
决策支持
神经网络
Forecast of Coal Demand
Decision Support System
ANN
