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ISNN
2007
Springer
14 years 2 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
IJCNN
2006
IEEE
14 years 2 months ago
Variance Stabilizing Regression Ensembles for Environmental Models
Anthony J. Bagnall, Ian Whittley, Matthew Studley,...
IJCNN
2006
IEEE
14 years 2 months ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
SBRN
2006
IEEE
14 years 2 months ago
A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity
Alixandre Santana, Rodrigo G. F. Soares, Anne M. P...