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SBRN
2000
IEEE
14 years 2 days ago
Evolutionary Optimization of RBF Networks
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
Estefane G. M. de Lacerda, Teresa Bernarda Ludermi...
ICONIP
1998
13 years 9 months ago
Genetic Algorithms for the Design of Fuzzy Neural Networks
The paper presents a methodology for designing the structure of a fuzzy neural network in a multi-modular connectionist system for classification purposes and illustrates the meth...
Michael J. Watts, Nikola K. Kasabov
IJON
2006
111views more  IJON 2006»
13 years 7 months ago
Dynamic pruning algorithm for multilayer perceptron based neural control systems
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
Jie Ni, Qing Song
ESANN
2004
13 years 9 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber