Title

Artificial Neural Network Approach to Mobile Location Estimation in GSM Network

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2017

Volume

vol. 63

Issue

No 1

Authors

Ezema, Longinus S. ; Cosmas I. Ani

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

2017

Identifier

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

Source

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

References

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.