Conference
User Behavior Prediction Model for Smart Home Using Parallelized Neural Network Algorithm
Abstract
In order to make the smart home system to have the ability of learning user behavior actively and provide services spontaneously, this paper introduced user behavior prediction model which combined back propagation neural network (BPNN) with Hadoop parallel computing to the traditional smart home system, numerous user-generated behavior and environmental parameters data are packaged in particular data frame format and uploaded to the cloud …
Authors
Xu G; Liu M; Li F; Zhang F; Shen W
Pagination
pp. 221-226
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
May 1, 2016
DOI
10.1109/cscwd.2016.7565992
Name of conference
2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)