Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data

Neural Network World

Volumn 19, Issue 1, 2009, Pages 3-20

  Gutierrez P A ^a   Hervas C ^a   Fernandez J C ^a   Jurado Exposito M ^b   Pena Barragan J M ^b   Lopez Granados F ^b  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

Author keywords

Evolutionary algorithms; Logistic regression; Product unit neural networks; Structural simplification

Indexed keywords

AERIAL PHOTOGRAPHY; ELECTRIC REACTORS; EVOLUTIONARY ALGORITHMS; LOGISTICS; REGRESSION ANALYSIS; REMOTE SENSING; SIMULATED ANNEALING;

AERIAL IMAGERIES; BINARY CLASSIFICATIONS; CLASSIFICATION ALGORITHMS; COVARIATES; FLEXIBLE TOOLS; LINEAR MODELS; LOGISTIC REGRESSION; LOGISTIC REGRESSION MODELS; LR METHODS; MULTI CLASS; MULTI-SPECTRAL ANALYSIS; PRODUCT UNIT NEURAL NETWORKS; SOUTHERN SPAIN; STRUCTURAL SIMPLIFICATION; WALD TESTS;

NEURAL NETWORKS;

EID: 63149134478     PISSN: 12100552     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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