基于神经网络专家系统的智能家居的研究  

作　　者：刘培奇[1] 马斌[1] 侯鑫[1] 

机构地区：[1]西安建筑科技大学,陕西西安710055

出　　处：《工业控制计算机》2014年第1期52-54,共3页Industrial Control Computer

摘　　要：智能家居是人工智能在信息家电控制领域里的研究热点。从专家控制的角度,分析了传统智能家居中缺乏智能性的缺陷,设计了一种基于神经网络专家系统的智能家居系统。该系统综合了专家系统的推理和神经网络的自学习能力,与信息家电智能协作,解决了传统智能家居系统中智能性差的问题,通过实验分析,该系统能够充分发挥智能家居的优越性,增强人们与家电间的互动,能够给人们提供一个舒适的居家环境。Smart Home is a major focus in information appliance control area which is usually applied.with the method of artificial intelligence.By using the methodology of the expert control theory,this paper notes the flaw of the traditional smart home system and designs a new network which is based on the neutral network.This system integrates the Expert System rea- soning method with the Neutral Network self-learning method.Cooperating intelligently with the information appliance,this system solves the problem of lacking of intelligence of the traditional smart home system.Proved by the experiment analy- sis,the system sufficiently reflects the superiority of the E-housing system and enhances the interaction between human and the household appliances,thus providing a comfortable household environment.

关 键 词：智能家居 专家系统 神经网络 信息家电 协作 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]