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FLAIRS
2004
15 years 8 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro
AI
2008
Springer
15 years 7 months ago
Properties of tree convex constraints
It is known that a tree convex network is globally consistent if it is path consistent. However, if a tree convex network is not path consistent, enforcing path consistency on it ...
Yuanlin Zhang, Eugene C. Freuder
EVOW
2009
Springer
16 years 1 months ago
Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...
Antonia Azzini, Célia da Costa Pereira, And...
WSOM
2009
Springer
16 years 1 months ago
Top-Down Control of Learning in Biological Self-Organizing Maps
This paper discusses biological aspects of self-organising maps (SOMs) which includes a brief review of neurophysiological findings and classical models of neurophysiological SOMs...
Thomas P. Trappenberg, Pitoyo Hartono, Douglas Ras...
ICTAI
2007
IEEE
16 years 1 months ago
Qualitative Constraints Representation for the Time and Space in SAT
In this paper we consider the consistency problem of temporal or spatial qualitive constraint networks. A new encoding making it possible to represent and solve this problem in th...
Jean-François Condotta, Dominique D'Almeida