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GPS GDOP classification via improved neural network trainings and principal component analysis

Azami, H and Sanei, S (2014) GPS GDOP classification via improved neural network trainings and principal component analysis INTERNATIONAL JOURNAL OF ELECTRONICS, 101 (9). pp. 1300-1313.

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Item Type: Article
Authors :
NameEmailORCID
Azami, HUNSPECIFIEDUNSPECIFIED
Sanei, Ss.sanei@surrey.ac.ukUNSPECIFIED
Date : 1 September 2014
Identification Number : 10.1080/00207217.2013.832390
Uncontrolled Keywords : Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, ENGINEERING, ELECTRICAL & ELECTRONIC, GPS GDOP, classification, neural network, resilient back propagation, scaled conjugate gradient algorithm, Levenberg-Marquardt (LM) algorithm, modified LM algorithm, one-step secant method, quasi-Newton method, APPROXIMATION, SATELLITES, ALGORITHMS
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:06
Last Modified : 17 May 2017 15:08
URI: http://epubs.surrey.ac.uk/id/eprint/837984

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