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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 1 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...

Publication
195views
13 years 7 months ago
Analog Genetic Encoding for the Evolution of Circuits and Networks
This paper describes a new kind of genetic representation called analog genetic encoding (AGE). The representation is aimed at the evolutionary synthesis and reverse engineering of...
Claudio Mattiussi, Dario Floreano
KES
2006
Springer
14 years 9 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
ESANN
2006
14 years 10 months ago
Evolving multi-segment 'super-lamprey' CPG's for increased swimming control
Abstract. `Super-lamprey' swimmers which operate over a greater control range are evolved. Propulsion in the lamprey, an eel-like fish, is governed by activity in its spinal n...
Leena N. Patel, Alan F. Murray, John Hallam
FECS
2006
159views Education» more  FECS 2006»
14 years 10 months ago
Evolving Mathematical Functions with Genetic Algorithms - A Team Project on Artificial Intelligence
- In contrast to most of the senior level Artificial Intelligence (AI) courses where AI is taught in the jargon of theoretical computer science with crowd of complex matrix algebra...
Zhiguang Xu, Chris Neasbitt, Jared Summers, Bill C...