An hybrid training method for B-spline neural networks

2005 IEEE International Workshop on Intelligent Signal Processing - Proceedings

Volumn , Issue , 2005, Pages 165-170

  Cabrita, Cristiano ^a   Botzheim, János ^b   Ruano, Antonio E B ^a   Kóczy, László T ^b,c  

^a UNIVERSITY OF ALGARVE   (Portugal)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

^c SZÉCHENYI ISTVÁN UNIVERSITY   (Hungary)

Author keywords

B Splines; Bacterial Algorithm; Genetic Programming; Levenberg Marquard algorithm; Local and global minima

Indexed keywords

DIFFERENTIAL EQUATIONS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION;

B-SPLINES; BACTERIAL ALGORITHM; GENETIC PROGRAMMING; GLOBAL MINIMA; LEVENBERG-MARQUARD ALGORITHMS; LOCAL MINIMA;

NEURAL NETWORKS;

EID: 33749078606     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. C. Cabrita, J. Botzheim, A. E. Ruano, L. T. Kóczy, "Design of B-spline Neural Networks using a Bacterial Programming Approach", FUZZ-IEEE 2004, Budapest, Hungary, pp., 2004.
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10. Ruano A. E., C. Cabrita, J. V. Oliveira, L. T. Kóczy, "Supervised training algorithms for b-spline neural networks and neuro-fuzzy systems," International journal of Systems Science, 33,8, pp. 689-711, 2002.