Wireless User Estimation Using Artificial Neural Networks

被引：0
|
作者：
Abinoja, Daniel [1 ]
Bedruz, Rhen Anjerome [1 ]
Jovellanos, Kevin Loo [1 ]
Bandala, Argel [1 ]
机构：
[1] De La Salle Univ, Elect & Commun Engn Dept, 2401 Taft Ave, Manila, Philippines
来源：
2015 INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY,COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM) | 2015年
关键词：
Neural Networks; Data Communications; Estimation Models; MULTILAYER FEEDFORWARD NETWORKS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Mobile devices, with the improving trend of smartphone use, is an area of study for human behavior on wireless data communications systems which serves as the converging focal point. The prediction of user quantities with non-intrusive data gathering in wireless communications trends and the correlation of Wi-Fi characteristics with quantity are important links towards data aggregation technique developments. To estimate user load in wireless connection systems, multi-layer feed forward artificial neural network based on BP algorithm is proposed and implemented with MATLAB to aid in optimization of performance in such networks. Error calculation, test, validation, and training performance are evaluated for the algorithm's applicability.
引用
收藏
页码：475 / +
页数：5
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