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» Fuzzy Kolmogorov's Network
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CEC
2008
IEEE
15 years 1 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»
14 years 11 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
14 years 11 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»
14 years 11 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»
15 years 5 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