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

H Azami; S Sanei

doi:10.1080/00207217.2013.832390

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

Journal article

Peer reviewed

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

H Azami and S Sanei

INTERNATIONAL JOURNAL OF ELECTRONICS, Vol.101(9), pp.1300-1313

01/09/2014

DOI: https://doi.org/10.1080/00207217.2013.832390

Abstract

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

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Title: GPS GDOP classification via improved neural network trainings and principal component analysis
Creators: H Azami
S Sanei
Publication Details: INTERNATIONAL JOURNAL OF ELECTRONICS, Vol.101(9), pp.1300-1313
Publisher: TAYLOR & FRANCIS LTD
Publication Date: 01/09/2014
Identifiers: 99513488202346; WOS:000337963800010
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

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

Abstract

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