灰色神经网络在空调订单预报中的应用  

Application of Grey Neural Network in Prediction of Air Conditioner Orders

作　　者：黄劲潮[1] HUANG Jinchao(Continuing Education Department, Longyan University, Longyan, Fujian 364012, China)

机构地区：[1]龙岩学院继续教育学院,福建龙岩364012

出　　处：《宜宾学院学报》2016年第12期60-62,共3页Journal of Yibin University

摘　　要：将灰色系统与神经网络融合,建立了GM(1,N)灰色神经网络基本模型,推导了相应的编程算法,以空调订单的预报为例,利用MATLAB对GM(l,N)灰色神经网络模型进行编程.程序运行结果表明,灰色神经网络模型在少样本情况下也可以达到较高精度,且误差可控,可以作为空调订单预报的有效工具.The grey system and neural network were combined to establish the basic model of GM（1,N） grey neural network, and the corresponding programming algorithm was deduced. Taking the forecast of air conditioner orders as an example, the GM（1,N） gray neural network model was programmed by MATLAB. The results show that the gray neural network model can be used as an effective tool for the prediction of air conditioner orders with high precision and error control.

关 键 词：灰色理论 神经网络 预报 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]