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» Evolving Complex Neural Networks
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ESANN
2001
14 years 11 months ago
Optimal transfer function neural networks
Neural networks use neurons of the same type in each layer but such architecture cannot lead to data models of optimal complexity and accuracy. Networks with architectures (number ...
Norbert Jankowski, Wlodzislaw Duch
AIIDE
2006
14 years 11 months ago
The NERO Video Game
In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that weakness is never repaired. Yet if game characters could ...
Kenneth O. Stanley, Igor Karpov, Risto Miikkulaine...
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
15 years 4 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 3 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
IWINAC
2007
Springer
15 years 4 months ago
Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
Michela Ponticorvo, Orazio Miglino