An Improved BPNN Method Based on Probability Density for Indoor Location
Author:
Affiliation:
1. School of Computer Science and Engineering, Xi'an University of Technology
2. Software Design Department, Hangzhou HollySys Automation Co., Ltd.
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/E106.D/5/E106.D_2022DLP0073/_pdf
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4. [4] E.B. Abubakirov, R.M. Rozental', and V.P. Tarakanov, “Comparison of Efficiencies of External Signal Supply Circuits in a Relativistic Backward-Wave Tube with Resonant Reflector,” J. Commun. Technol. Electron. vol.64, no.1, pp.59-63, 2019. 10.1134/s1064226919010017
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