灰色神经网络预测修正模型研究  

Research of modelling for gray system and artificial neural networks

作　　者：陈捷[1] 陈为真[1] 

机构地区：[1]武汉工业学院电气信息工程系,湖北武汉430023

出　　处：《武汉工业学院学报》2011年第3期43-46,共4页Journal of Wuhan Polytechnic University

摘　　要：简述灰色系统与人工神经网络各自的特点与应用,分析两者以及组合方式的优缺点和预测能力,结合灰色系统的"少数据,高精度"的特性和人工神经网络的"纠正"能力,提出一种新的组合模型:误差纠正网络模型,并通过数据初步验证,结果表明,新的组合模型对负荷预测是可行的。Forecasting Model has great importance in allocation and making use of energy source.This text first makes a brief introduction to Gray System and Artificial Neural Network respectively of their characteristics and application,analyzes the relative merits and predictive ability which forms the combination forecasting,combines the characteristic of ＂modicum data,high definition＂ of gray system and the ＂rectify＂ capability of Artificial Neural Network,then gives out one kind of new combination model： The Error Corrects Network Model.On receiving an initial verification of the data,the results show that the new forecast model is viable to load forecasting.

关 键 词：灰色系统 人工神经网络 组合预测模型 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]