Harmonic detection using neural networks with conjugate gradient algorithm

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3192, Issue , 2004, Pages 304-311

  Yumusak, Nejat ^a   Temurtas, Fevzullah ^a   Gunturkun, Rustu ^b  

^a SAKARYA UNIVERSITY   (Turkey)

^b DUMLUPINAR UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DISTORTION (WAVES); HARMONIC ANALYSIS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION ALGORITHMS; CONJUGATE GRADIENT METHOD;

FLETCHER-REEVES CONJUGATE GRADIENT (CGF) ALGORITHMS; FUNDAMENTAL WAVES; GRADIENT ALGORITHMS; HARMONIC DETECTION; CONJUGATE GRADIENT ALGORITHMS; DISTORTED WAVES; FASTER CONVERGENCE; HARMONICS DETECTION;

NEURAL NETWORKS; RECURRENT NEURAL NETWORKS;

EID: 22944458523     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30106-6_31     Document Type: Conference Paper

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