BP神经网络在智能家庭网关中的应用研究

随着消费类电子产品技术的成熟,智能化家庭网络概念的深入人心,家庭网关在数字化家庭网络中将会扮演着越来越重要的角色.系统运用模糊神经网络技术提出了一种新型智能家庭网关,该网关运用基于误差反向传播算法优化的模糊神经网络技术,以神经网络输出结果和模糊化判决为依据对家居设备进行智能控制.同时还构造了室内空气质量分析系统,并将实验和仿真的精确度控制在0.1％内,证明了该系统的有效性和精确性.

Research and application of BP Neural Network in Smart Home Gateway

As the consumer digital product technology becomes mature and the concept of intelligent home network has been accept by consumers, Home Gateway will become more important in the digital home network. This system uses the technology of fuzzy neural network to build a new smart home gateway, and this gateway use the technology of fuzzy neural network optimized by BP algorithm to set up the air quality internal home analyze system.And we limited the accuracy of experiment and simulation within 0.1%, we also prove its effectiveness.