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» Evolving RBF Neural Networks
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GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
13 years 11 months ago
A Note on Learning and Evolution in Neural Networks
Interactions between evolution and lifetime learning are of great interest to studies of adaptive behaviour both in the natural world and the field of evolutionary computation. Th...
Brian Carse, Johan Oreland
CEC
2008
IEEE
13 years 10 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa
ICONIP
2004
13 years 9 months ago
A Neural Network Model for Trace Conditioning
We studied the dynamics of a neural network which have both of recurrent excitatory and random inhibitory connections. Neurons started to become active when a relatively weak trans...
Tadashi Yamazaki, Shigeru Tanaka
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
14 years 5 days ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
NPL
2000
105views more  NPL 2000»
13 years 7 months ago
Online Interactive Neuro-evolution
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...