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» Fuzzy Kolmogorov's Network
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CEC
2008
IEEE
13 years 9 months ago
Efficient evolution of ART neural networks
Abstract-- Genetic algorithms have been used to evolve several neural network architectures. In a previous effort, we introduced the evolution of three well known ART architects; F...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
BMCBI
2010
164views more  BMCBI 2010»
13 years 8 months ago
Gene regulatory networks modelling using a dynamic evolutionary hybrid
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
Ioannis A. Maraziotis, Andrei Dragomir, Dimitris T...
SOCO
2002
Springer
13 years 7 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
IJSNET
2008
118views more  IJSNET 2008»
13 years 7 months ago
A fuzzy-based virtual backbone routing for large-scale MANETs
: Virtual backbone-based routing is a promising approach for enhancing the routing efficiency in MANETs. To establish communication in the network, the virtual backbone nodes have ...
Wassim El-Hajj, Dionysios Kountanis, Ala I. Al-Fuq...
ICAS
2006
IEEE
139views Robotics» more  ICAS 2006»
14 years 1 months ago
Predicting Resource Demand in Dynamic Utility Computing Environments
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Artur Andrzejak, Sven Graupner, Stefan Plantikow