The implementation of fuzzy RBF neural network on indoor location

Ying Sun; Yubin Xu; Lin Ma

doi:10.1109/KESE.2009.32

The implementation of fuzzy RBF neural network on indoor location

Ying Sun^*
, Yubin Xu
, Lin Ma

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

The paper presents a fuzzy neural network with radial basis function (RBF) to apply on WLAN indoor location, effectively reducing the cost of indoor location, enhancing realtime indoor location, greatly improving indoor location accuracy. Through the equivalent theorem, the fuzzy inference system and the RBF neural network are combined and form a fuzzy RBF neural network system, which takes advantage of neural network to obtain suitable fuzzy rules and membership function expressions, and then outputs target coordinates by defuzzication. Finally, simulation experiments verify the feasibility and effectiveness of the fuzzy RBF neural network based WLAN indoor location method, with the location accuracy of 2.73m.

Original language	English
Title of host publication	KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering
Pages	90-93
Number of pages	4
DOIs	https://doi.org/10.1109/KESE.2009.32
State	Published - 2009
Externally published	Yes
Event	2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009 - Shenzhen, China Duration: 19 Dec 2009 → 20 Dec 2009

Publication series

Name	KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering

Conference

Conference	2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009
Country/Territory	China
City	Shenzhen
Period	19/12/09 → 20/12/09

Keywords

Fuzzy RBF neural network
Fuzzy rules
Indoor location
Membership functions

Access to Document

10.1109/KESE.2009.32

Cite this

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title = "The implementation of fuzzy RBF neural network on indoor location",

abstract = "The paper presents a fuzzy neural network with radial basis function (RBF) to apply on WLAN indoor location, effectively reducing the cost of indoor location, enhancing realtime indoor location, greatly improving indoor location accuracy. Through the equivalent theorem, the fuzzy inference system and the RBF neural network are combined and form a fuzzy RBF neural network system, which takes advantage of neural network to obtain suitable fuzzy rules and membership function expressions, and then outputs target coordinates by defuzzication. Finally, simulation experiments verify the feasibility and effectiveness of the fuzzy RBF neural network based WLAN indoor location method, with the location accuracy of 2.73m.",

keywords = "Fuzzy RBF neural network, Fuzzy rules, Indoor location, Membership functions",

author = "Ying Sun and Yubin Xu and Lin Ma",

year = "2009",

doi = "10.1109/KESE.2009.32",

language = "英语",

isbn = "9780769539164",

series = "KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering",

pages = "90--93",

booktitle = "KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering",

note = "2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009 ; Conference date: 19-12-2009 Through 20-12-2009",

}

Sun, Y, Xu, Y & Ma, L 2009, The implementation of fuzzy RBF neural network on indoor location. in KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering., 5383612, KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, pp. 90-93, 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009, Shenzhen, China, 19/12/09. https://doi.org/10.1109/KESE.2009.32

The implementation of fuzzy RBF neural network on indoor location. / Sun, Ying; Xu, Yubin; Ma, Lin.
KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering. 2009. p. 90-93 5383612 (KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The implementation of fuzzy RBF neural network on indoor location

AU - Sun, Ying

AU - Xu, Yubin

AU - Ma, Lin

PY - 2009

Y1 - 2009

N2 - The paper presents a fuzzy neural network with radial basis function (RBF) to apply on WLAN indoor location, effectively reducing the cost of indoor location, enhancing realtime indoor location, greatly improving indoor location accuracy. Through the equivalent theorem, the fuzzy inference system and the RBF neural network are combined and form a fuzzy RBF neural network system, which takes advantage of neural network to obtain suitable fuzzy rules and membership function expressions, and then outputs target coordinates by defuzzication. Finally, simulation experiments verify the feasibility and effectiveness of the fuzzy RBF neural network based WLAN indoor location method, with the location accuracy of 2.73m.

AB - The paper presents a fuzzy neural network with radial basis function (RBF) to apply on WLAN indoor location, effectively reducing the cost of indoor location, enhancing realtime indoor location, greatly improving indoor location accuracy. Through the equivalent theorem, the fuzzy inference system and the RBF neural network are combined and form a fuzzy RBF neural network system, which takes advantage of neural network to obtain suitable fuzzy rules and membership function expressions, and then outputs target coordinates by defuzzication. Finally, simulation experiments verify the feasibility and effectiveness of the fuzzy RBF neural network based WLAN indoor location method, with the location accuracy of 2.73m.

KW - Fuzzy RBF neural network

KW - Fuzzy rules

KW - Indoor location

KW - Membership functions

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DO - 10.1109/KESE.2009.32

M3 - 会议稿件

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T3 - KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering

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EP - 93

BT - KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering

T2 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009

Y2 - 19 December 2009 through 20 December 2009

ER -

The implementation of fuzzy RBF neural network on indoor location

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Publication series

Conference

Keywords

Access to Document

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