Cascading artificial neural networks optimized by genetic algorithms and integrated with global navigation satellite system to offer accurate ubiquitous positioning in urban environment

Computers, Environment and Urban Systems

Volumn 37, Issue 1, 2013, Pages 35-44

  Mehmood, Hamid ^a   Tripathi, Nitin K ^b  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

^b ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

Author keywords

Artificial neural networks; Genetic algorithms; GNSS; GPS; Indoor positioning systems; Ubiquitous positioning

Indexed keywords

GALILEO; GLOBAL NAVIGATION SATELLITE SYSTEMS; GLONASS; GNSS; INDOOR ENVIRONMENT; INDOOR POSITIONING; INDOOR POSITIONING SYSTEMS; MOBILE SERVICE; OUTDOOR ENVIRONMENT; OUTDOOR POSITIONING; POSITIONING SYSTEM; THAILAND; UBIQUITOUS POSITIONING; URBAN ENVIRONMENTS; WI FI NETWORKS; WIRELESS TECHNOLOGIES;

GENETIC ALGORITHMS; LOCATION BASED SERVICES; NEURAL NETWORKS; OPTIMIZATION; URBAN PLANNING; WI-FI; WIRELESS TELECOMMUNICATION SYSTEMS;

GLOBAL POSITIONING SYSTEM;

ARTIFICIAL NEURAL NETWORK; GALILEO MISSION; GENETIC ALGORITHM; GLONASS; GNSS; GPS; NAVIGATION; NUMERICAL MODEL; URBAN AREA;

EID: 84870387946     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2012.04.004     Document Type: Article

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