Noise reduction in a non-homogenous ground penetrating radar problem by multiobjective neural networks

IEEE Transactions on Magnetics

Volumn 45, Issue 3, 2009, Pages 1454-1457

  Travassos Jr , X L ^a   Vieira, D A G ^b   Palade, V ^c   Nicolas, A ^d  

^a SENAI CIMATEC   (Brazil)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d ECOLE CENTRALE DE LYON   (France)

Author keywords

Ground penetrating radar; Inverse problems; Multiobjective training algorithms; Neural networks (NNs); Noise; Regularization methods

Indexed keywords

ACOUSTIC INTENSITY; ADAPTIVE FILTERS; DIFFERENTIAL EQUATIONS; DYNAMIC LOADS; ELECTRIC FILTERS; FINITE DIFFERENCE TIME DOMAIN METHOD; GAUSSIAN NOISE (ELECTRONIC); GEOLOGICAL SURVEYS; INVERSE PROBLEMS; MULTIOBJECTIVE OPTIMIZATION; RADAR; RADAR ANTENNAS; SIGNAL TO NOISE RATIO;

ARTIFICIAL NEURAL NETWORKS; COLORED GAUSSIAN NOISE; CROSS VALIDATIONS; FINITE-DIFFERENCE TIME-DOMAIN MODELS; GROUND PENETRATING RADAR; MULTI OBJECTIVES; MULTI-OBJECTIVE ALGORITHMS; MULTIOBJECTIVE TRAINING ALGORITHMS; NOISE; NOISE REDUCTIONS; PREPROCESS; REFLECTED WAVES; REGULARIZATION METHODS;

NEURAL NETWORKS;

EID: 61449223713     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2009.2012677     Document Type: Article

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