Improving generalization of MLPs with multi-objective optimization

Neurocomputing

Volumn 35, Issue 1-4, 2000, Pages 189-194

  Albuquerque Teixeira, Roselito de ^a   Braga, Antônio Pádua ^a   Takahashi, Ricardo H C ^a   Saldanha, Rodney R ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Generalization; Learning; Multi objective optimization

Indexed keywords

BACKPROPAGATION; ERROR ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; VECTORS;

MULTI-OBJECTIVE OPTIMIZATION; NETWORK WEIGHT VECTORS;

MULTILAYER NEURAL NETWORKS;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; LEARNING; MACHINE; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; PROBLEM SOLVING; SIMULATION; TRAINING;

EID: 0034331142     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(00)00327-1     Document Type: Article

References (6)

1. Multiobjective Decision Making: Theory and Methodology
2. Support vector networks
3. Sliding mode algorithm for training multi-layer neural networks
4. Learning representations by back-propagating errors
5. Cut-off method with space extension in convex programming problems
6. H2/h-infinity multiobjective pid design