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IJCNN
2006
IEEE
14 years 2 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu
SOFTCO
2004
Springer
14 years 1 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
HAIS
2010
Springer
13 years 6 months ago
Enhanced Self Organized Dynamic Tree Neural Network
Juan Francisco de Paz, Sara Rodríguez, Ana ...
ICAISC
2004
Springer
14 years 1 months ago
Chaotic Itinerancy for Patterns Separation
Chaotic neural network with external inputs has been used as a mixed input pattern separator. In contrast to previous work on the subject, highly chaotic dynamical system (LLE ≈ ...
Pawel Matykiewicz
AI
2002
Springer
13 years 7 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang