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» Evolving Complex Neural Networks
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ESANN
2004
15 years 5 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
117
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GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
15 years 10 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
126
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IJCNN
2008
IEEE
15 years 10 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
172
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ANNS
2010
14 years 10 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
129
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FLAIRS
2006
15 years 5 months ago
GFAM: Evolving Fuzzy ARTMAP Neural Networks
Fuzzy ARTMAP (FAM) is one of the best neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in...
Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S....