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» Training Neurofuzzy Networks with Participatory Learning
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EUSFLAT
2007
115views Fuzzy Logic» more  EUSFLAT 2007»
13 years 6 months ago
Training Neurofuzzy Networks with Participatory Learning
This paper introduces a new approach to adjust a class of neurofuzzy networks based on the idea of participatory learning. Participatory learning is a mean to learn and revise bel...
Michel Hell, Rosangela Ballini, Pyramo Costa Jr., ...
GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
13 years 9 months ago
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
Mirela Ovreiu, Dan Simon
TSMC
1998
139views more  TSMC 1998»
13 years 4 months ago
A neuro-fuzzy controller for mobile robot navigation and multirobot convoying
—A Neural integrated Fuzzy conTroller (NiF-T) which integrates the fuzzy logic representation of human knowledge with the learning capability of neural networks is developed for ...
Kim C. Ng, Mohan M. Trivedi
KES
2004
Springer
13 years 10 months ago
Fuzzy Kolmogorov's Network
A spline-based modification of the previously developed Neuro-Fuzzy Kolmogorov's Network (NFKN) is proposed. In order to improve the approximation accuracy, cubic B-splines ar...
Vitaliy Kolodyazhniy, Yevgeniy Bodyanskiy
EUSFLAT
2003
122views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
Structure recognition on sequences with a neuro-fuzzy-system
We present a formal description of a neurofuzzy system capable of aligning two sequences recognizing their internal structure. The alignment is done on two levels: grouping of the...
Klaus Dalinghaus, Tillman Weyde