New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm-Reference-Cited by-同舟云学术

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

Published:2014-12 Issue: Volume:25 Page:285-292
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Azarbad Milad,Azami Hamed,Sanei Saeid,Ebrahimzadeh Ataollah

Publisher

Elsevier BV

Subject

Software

Reference25 articles.

1. A study on GPS GDOP approximation using support-vector machines;Wu;IEEE Trans. Instrum. Meas.,2011

2. Performance improvement of GPS GDOP approximation using recurrent wavelet neural network;Tafazoli;J. Geogr. Inform. Syst.,2011

3. Applying neural network ensembles for clustering of GPS satellites;Mosavi;J. Geoinform.,2011

4. Neural network-based GPS GDOP approximation and classification;Jwo;J. GPS Solut.,2007

5. Classification of GPS satellites using improved back propagation training algorithms;Azami;Springer J. Wirel. Pers. Commun.,2012

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