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» Evolving Neural Network through Augmenting Topologies
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GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
15 years 4 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer
MIG
2009
Springer
15 years 4 months ago
Evolved Controllers for Simulated Locomotion
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
Brian F. Allen, Petros Faloutsos
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolving a real-world vehicle warning system
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen,...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
82
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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 1 months ago
Evolving specific network statistical properties using a gene regulatory network model
Abstract. The generation of network topologies with specific, userspecified statistical properties is the aim of this paper. This is achieved through the use of an artifical Gene R...
Miguel Nicolau, Marc Schoenauer