A Taylor Based Localization Algorithm for Wireless Sensor Network Using Extreme Learning Machine
Author:
Affiliation:
1. School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB)
2. Beijing Key Laboratory of Knowledge Engineering for Materials Science
3. School of Electronic and Information Engineering, Beihang University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E97.D/10/E97.D_2013THP0019/_pdf
Reference25 articles.
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2. [2] M.J. Chae M J, H.S. Yoo, J.Y. Kim, and M.Y. Cho, “Development of a wireless sensor network system for suspension bridge health monitoring,” Autom. Constr., vol.21, pp.237-252, 2012.
3. [3] Y.L. Lai and J. Cheng J, “A 2.45-GHz RFID wireless-sensor-network location tracking system,” Proc. Int. Symp. Consum. Electron., pp.133-134, Hsinchu, Taiwan, 2013.
4. [4] Z. Su, F. Shang, and R. Wang, “A wireless sensor network location algorithm based on simulated annealing,” Proc. Int. Conf. Biomed. Eng. Informatics, pp.1-5, Tianjin, China, 2009.
5. [5] B.P. Qu, G. Shao, and Z.R. Jing, “An improved TDOA location algorithm in LOS environment,” Proc. Int. Conf. Intelligent Hum.-Mach. Syst. Cybern., vol.1, pp.70-73, Nanchang, China, 2012.
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