Decisor implementation in neural model selection by multiobjective optimization

Proceedings - Brazilian Symposium on Neural Networks, SBRN

Volumn 2002-January, Issue , 2002, Pages 234-

  Teixeira, R A ^a   Braga, A P ^a   Takahashi, R H C ^a   Saldanha, R R ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Backpropagation; Biological neural networks; Decision making; Multilayer perceptrons; Support vector machine classification; Support vector machines

Indexed keywords

BACKPROPAGATION; CYBERNETICS; DECISION MAKING; MULTILAYERS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; OPTIMAL SYSTEMS; PARETO PRINCIPLE; SUPPORT VECTOR MACHINES;

BIOLOGICAL NEURAL NETWORKS; GENERALIZATION CAPACITY; LEARNING SCHEMES; MULTI OBJECTIVE ALGORITHM; MULTI-LAYER PERCEPTRONS (MLPS); PARETO OPTIMAL SOLUTIONS; SUM OF SQUARED ERRORS; SUPPORT VECTOR MACHINE CLASSIFICATION;

MULTILAYER NEURAL NETWORKS;

EID: 84886995189     PISSN: 15224899     EISSN: None     Source Type: Journal    
DOI: 10.1109/SBRN.2002.1181480     Document Type: Article

References (3)

1. V. Chankong and Y. Y. Haimes. Multiobjective Decision Making: Theory and Methodology, volume 8. North-Holland (Elsevier), New York, 1983.
2. S. Geman, E. Bienenstock, and R. Doursat. Neural networks and the bias/variance dilemma. Neural Computation, 4(1):1-58, 1992.
3. R. A. Teixeira, A. P. Braga, R. H. C. Takahashi, and R. R. Saldanha. Improving generalization of mlps with multi-objective optimization. Neurocomputing, 35(1-4):189-194, 2000.