Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/120

TitleAdaptive learning in changing environments
Author(s)Rocha, Miguel
Cortez, Paulo
Neves, José
KeywordsBaldwin Effect
Evolutionary Programming
Hybrid Systems
Lamarckian Optimization
Multi-Layer Perceptrons
Issue dateApr-2003
Publisherd-side publishing
CitationIn M. Verleysen Ed., Proceedings of 11th European Symposium on Artificial Neural Networks (ESANN'2003), Bruges, Belgium, pp. 487-492
Abstract(s)The remarkable adaptation of living creatures to their environments comes as a result of the interaction of two orthogonal processes: evolution and learning. Within the Machine Learning arena, both mechanisms inspired the development of the Evolutionary and Connectionist Computation fields, which can be combined under two different views, the Lamarckian and Baldwinian approaches. Comparative tests reward the latter when changing environments are considered.
TypeConference paper
URIhttp://hdl.handle.net/1822/120
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
DI/CCTC - Artigos (papers)
DSI - Engenharia da Programação e dos Sistemas Informáticos

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