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New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm

Azarbad, M, Azami, H, Sanei, S and Ebrahimzadeh, A (2014) New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm APPLIED SOFT COMPUTING, 25. pp. 285-292.

Full text not available from this repository.
Item Type: Article
Authors :
NameEmailORCID
Azarbad, MUNSPECIFIEDUNSPECIFIED
Azami, HUNSPECIFIEDUNSPECIFIED
Sanei, Ss.sanei@surrey.ac.ukUNSPECIFIED
Ebrahimzadeh, AUNSPECIFIEDUNSPECIFIED
Date : 1 December 2014
Identification Number : 10.1016/j.asoc.2014.09.022
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Interdisciplinary Applications, Computer Science, GPS GDOP classification, Neural network, Radial basis function, Adaptive neuro-fuzzy inference system, Improved bee algorithm, APPROXIMATION, MODEL
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:31
Last Modified : 17 May 2017 15:11
URI: http://epubs.surrey.ac.uk/id/eprint/839523

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