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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 6 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando
IWANN
2005
Springer
15 years 5 months ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam
ANNPR
2006
Springer
15 years 3 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
TNN
2008
88views more  TNN 2008»
14 years 11 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
SIGKDD
2000
112views more  SIGKDD 2000»
14 years 11 months ago
Artificial Neural Networks - A Science in Trouble
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
Asim Roy