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APCHI
2004
IEEE
13 years 11 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
14 years 28 days ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
IJCNN
2007
IEEE
14 years 1 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
EH
2003
IEEE
100views Hardware» more  EH 2003»
14 years 21 days ago
Learning for Evolutionary Design
This paper describes a technique for evolving similar solutions to similar configuration design problems. Using the configuration design of combination logic circuits as a testb...
Sushil J. Louis
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide