Batch-sequential algorithm for neural networks trained with entropic criteria

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3697 LNCS, Issue , 2005, Pages 91-96

  Santos, Jorge M ^a,c   De Sá, Joaquim Marques ^a   Alexandre, Luís A ^b  

^a INEB INSTITUTO DE ENGENHARIA BIOMÉDICA   (Portugal)

^b IT Networks and Multimedia Group   (Portugal)

^c INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

BACK-PROPAGATION ALGORITHMS; ENTROPIC CRITERIA; SEQUENTIAL MODES; SINGLE BATCH MODE ALGORITHMS;

ALGORITHMS; BACKPROPAGATION; COMPUTATIONAL COMPLEXITY; ENTROPY; PERSONNEL TRAINING;

NEURAL NETWORKS;

EID: 33646244992     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (8)

1. Jorge M. Santos, Luis A. Alexandre, and Joaquim Marques de Sá. The Error Entropy Minimization Algorithm for Neural Network Classification. Int. Conf. on Recent Advances in Soft Computing, pages 92-97, 2004.
2. D. Erdogmus and J. Prncipe. An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems. Trans. On Signal Processing, 50(7):1780-1786, 2002.
3. Jorge M. Santos, Joaquim Marques de Sa, Luis A. Alexandre, and Fernando Sereno. Optimization of the Error Entropy Minimization Algorithm for Neural Network Classification. In C.H.Dagli, A. L. Buczak, D. L. Enke, M. J. Embrechts, and O. Ersoy, editors, Intelligent Engineering Systems Through Artificial Neural Networks, volume 14, pages 81-86. ASME Press, 2004.
4. Luis M. Silva, Joaquim Marques de Sa, and Luis A. Alexandre. Neural Network Classification using Shannon's Entropy. In European Symposium on Artificial Neural Networks (Accepted for publication), 2005.
5. D. Xu and J. Princpe. Training mlps layer-by-layer with the information potential. In Intl. Joint Conf. on Neural Networks, pages 1716-1720, 1999.
6. Jorge M. Santos, Joaquim Marques de Sá, and Luis A. Alexandre. Neural Networks Trained with the EEM Algorithm: Tuning the Smoothing Parameter. In 6th WSEAS Int. Conf. on Neural Networks, (accepted), 2005.
7. Simon Haykin. Neural Networks: A Comprehensive Foundation. Prentice Hall, New Jersey, 2 edition, 1999.
8. F. Silva and L. Almeida. Speeding up backpropagation. In Eckmiller R., editor, Advanced Neural Computers, pages 151-158, 1990.