Artificial neural network weights optimization using ICA, GA, ICA-GA and R-ICA-GA: Comparing performances

IEEE SSCI 2011 - Symposium Series on Computational Intelligence - HIMA 2011: 2011 IEEE Workshop on Hybrid Intelligent Models and Applications

Volumn , Issue , 2011, Pages 61-67

  Khorani, Vahid ^a   Forouzideh, Nafiseh ^b   Nasrabadi, Ali Motie ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c SHAHED UNIVERSITY   (Iran)

Author keywords

ANN; GA; hybrid evolutionary algorithms; ICA; ICA GA; optimization; R ICA GA

Indexed keywords

ANN; ARTIFICIAL NEURAL NETWORK; COMPETITIVE ALGORITHMS; DATA SETS; EVOLUTIONARY OPTIMIZATION ALGORITHM; EVOLUTIONARY TRAINING; HYBRID EVOLUTIONARY ALGORITHM; ICA-GA; MULTI LAYER PERCEPTRON; OTHER ALGORITHMS; R-ICA-GA; RESEARCH AREAS;

CLASSIFICATION (OF INFORMATION); INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; UNDERWATER ACOUSTICS; WINE;

GENETIC ALGORITHMS;

EID: 80051662173     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIMA.2011.5953956     Document Type: Conference Paper

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