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» Genetic Algorithms for the Design of Fuzzy Neural Networks
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EUSFLAT
2009
212views Fuzzy Logic» more  EUSFLAT 2009»
15 years 3 months ago
An Interval Type-2 Fuzzy Distribution Network
Abstract-- Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribu...
Simon Miller, Viara Popova, Robert John, Mario A. ...
161
Voted
PPSN
2004
Springer
15 years 11 months ago
Evolution of Voronoi-Based Fuzzy Controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. One of the most successful methods to auto...
Carlos Kavka, Marc Schoenauer
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 9 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
165
Voted
ESANN
2004
15 years 7 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
CEC
2010
IEEE
15 years 6 months ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...