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» Evolution of Voronoi based fuzzy recurrent controllers
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94
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EH
2002
IEEE
266views Hardware» more  EH 2002»
15 years 3 months ago
Towards Evolvable Analog Fuzzy Logic Controllers
Fuzzy Logic has proved to be a very powerful technique in the discipline of system control. A Fuzzy Logic Controller is defined by a collection of fuzzy if-then rules and a set of...
José Franco Machado do Amaral, Jorge Lu&iac...
76
Voted
GECCO
2003
Springer
147views Optimization» more  GECCO 2003»
15 years 3 months ago
Optimal Elevator Group Control by Evolution Strategies
Abstract. Efficient elevator group control is important for the operation of large buildings. Recent developments in this field include the use of fuzzy logic and neural networks....
Thomas Beielstein, Claus-Peter Ewald, Sandor Marko...
ANNS
2010
14 years 5 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
126
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TFS
2008
157views more  TFS 2008»
14 years 9 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
71
Voted
ECAL
2007
Springer
15 years 4 months ago
Neural Uncertainty and Sensorimotor Robustness
Real organisms live in a world full of uncertain situations and have evolved cognitive mechanisms to cope with problems based on actions and perceptions which are not always reliab...
Jose A. Fernandez-Leon, Ezequiel A. Di Paolo