基于BP神经网络的智能家居系统设计
首发时间:2016-12-07
摘要:随着信息科技的快速发展,智能家居走进人们的生活中,并且已经发展了相当长的一段时间,通过将信息技术与家居设备结合,大大提升了日常生活的便利性。目前市面上已经出现了很多相应的产品,但是大多数产品只实现了一体化操纵、一体化控制的功能,在智能化方面还有很大的提升空间。在智能家居系统中,人们可以通过手机、平板等设备方便得控制家电;反之,系统可以通过长期观测用户的行为,达到理解用户行为的意图,并记忆所有的行为,使得智能家居系统更加智能化。本文将基于智能家居用户历史数据,通过BP神经网络学习算法,建立智能家居系统用户的行为模式,推测用户行为意图,使智能家居系统更加智能化。
关键词: 物联网 智能家居 用户行为 数据挖掘 BP神经网络
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Smart Home System Design Based On BP Neural Network Algorithm
Abstract:With the rapid development of information technology, smart home combine information technology and household equipment to enhance the convenience of daily life, and has developed for a long period of time. Currently the market has emerged a lot of the corresponding products, but most products only to achieve the integration of manipulation, the function of integrated control, there is still much room for improvement in the intelligent. In the smart home system, people can use phone, pad and other equipment to control the household equipmen; on the contrary, the system can observe the behavior of user chronically to understand the intention of user behavior, and remember all the behavior for the user to establish a set of behavior patterns, making smart home system more intelligent. This paper design a smart home system based on BP neural network algorithm with user behavior data, speculating user behavior intentions, making smart home system more intelligent.
Keywords: internet of things smart home user behavior data mining BP neural network algorithm
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