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» Evolving Artificial Neural Networks that Develop in Time
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GECCO
2006
Springer
291views Optimization» more  GECCO 2006»
13 years 11 months ago
Modular thinking: evolving modular neural networks for visual guidance of agents
This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
CEC
2005
IEEE
13 years 9 months ago
Graph composition in a graph grammar-based method for automata network evolution
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...
Martin H. Luerssen, David M. W. Powers
BMCBI
2004
133views more  BMCBI 2004»
13 years 7 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
ENVSOFT
2008
115views more  ENVSOFT 2008»
13 years 7 months ago
Adaptive fuzzy modeling versus artificial neural networks
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
Ralf Wieland, Wilfried Mirschel
CEC
2009
IEEE
14 years 2 months ago
Evolving morphology and control: A distributed approach
—In this paper we present a model which allows to co-evolve the morphology and the control system of realistically simulated robots (creatures). The method proposed is based on a...
Mariagiovanna Mazzapioda, Angelo Cangelosi, Stefan...