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» Genetic Algorithms for the Design of Fuzzy Neural Networks
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IJNS
2000
80views more  IJNS 2000»
13 years 7 months ago
VLSI Implementation of Neural Networks
Currently, fuzzy controllers are the most popular choice for hardware implementation of complex control surfaces because they are easy to design. Neural controllers are more compl...
Bogdan M. Wilamowski, J. Binfet, M. O. Kaynak
EUSFLAT
2009
137views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Evolutionary Robot Vision and Fuzzy Evaluation for Natural Communication of Partner Robots
This paper proposes a method of evolutionary robot vision based on a steady-state genetic algorithm and fuzzy evaluation. In order to improve the communication capability of human-...
Akihiro Yorita, Naoyuki Kubota
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 21 days ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
FUZZIEEE
2007
IEEE
14 years 1 months ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen
ISDA
2010
IEEE
13 years 5 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...