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AUSAI
2001
Springer
13 years 10 months ago
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
Hussein A. Abbass
NIPS
1996
13 years 7 months ago
Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton
While on-line handwriting recognition is an area of long-standing and ongoing research, the recent emergence of portable, pen-based computers has focused urgent attention on usabl...
Larry S. Yaeger, Brandyn J. Webb, Richard F. Lyon
IJCNN
2000
IEEE
13 years 10 months ago
Exploiting the Selfish Gene Algorithm for Evolving Cellular Automata
This paper shows an application in the field of Electronic CAD of the Selfish Gene algorithm, an evolutionary algorithm based on a recent interpretation of the Darwinian theory. Te...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
IJON
2008
88views more  IJON 2008»
13 years 6 months ago
Neural network construction and training using grammatical evolution
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 11 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