Tytuł artykułu

Artificial Neural Network Approach to Mobile Location Estimation in GSM Network

Tytuł czasopisma

International Journal of Electronics and Telecommunications

Rocznik

2017

Wolumin

vol. 63

Numer

No 1

Autorzy

Ezema, Longinus S. ; Cosmas I. Ani

Wydział PAN

Nauki Techniczne

Wydawca

Polish Academy of Sciences Committee of Electronics and Telecommunications

Data

2017

Identyfikator

DOI: 10.1515/eletel-2017-0006 ; eISSN 2300-1933 (since 2013) ; ISSN 2081-8491 (until 2012)

Źródło

International Journal of Electronics and Telecommunications; 2017; vol. 63; No 1

Referencje

Ezema (2014), Mobile Location Estimation in of Emerging Technology & Research Issue Mar - Apr, International Journal. ; Zeytinci (2013), Location Estimation Using RSS Measurements with Unknown Path Loss Exponents on Wireless Communications and Networking, EURASIP Journal. ; Haykin (1998), Comprehensive foundation ndEdition, Neural Networks. ; Ezema (2016), Multiple Linear Regression Model for Mobile Location Estimation in GSM Urban Environments of Science and Technology Feb, Indian Journal. ; Venkata Subramanian (2014), Implementation of Artificial Neural Network for Mobile Movement Prediction of science and, Indian Journal Technology, 7, 858.