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NECO
2000
67views more  NECO 2000»
13 years 7 months ago
Learning Chaotic Attractors by Neural Networks
Rembrandt Bakker, Jaap C. Schouten, C. Lee Giles, ...
IJCNN
2000
IEEE
14 years 9 hour ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger
NEUROSCIENCE
2001
Springer
14 years 1 days ago
Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
Mikel L. Forcada, Rafael C. Carrasco
ICONIP
1998
13 years 9 months ago
A Web Oriented Recurrent Neural Network Simulator
YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this pro...
Romuald Boné, Michel Crucianu, Pascal Makri...
IJON
2008
63views more  IJON 2008»
13 years 7 months ago
A theoretical framework for multiple neural network systems
Mike W. Shields, Matthew C. Casey