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SAB
2010
Springer
117views Optimization» more  SAB 2010»
15 years 3 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
CORR
2002
Springer
100views Education» more  CORR 2002»
15 years 4 months ago
A neural model for multi-expert architectures
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...
Marc Toussaint
EUSFLAT
2003
130views Fuzzy Logic» more  EUSFLAT 2003»
15 years 6 months ago
Resource-allocating probabilistic neuro-fuzzy network
In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...
Yevgeniy Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolo...
ICONIP
2008
15 years 6 months ago
Neural Network Regression for LHF Process Optimization
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
Miroslaw Kordos
132
Voted
KES
1998
Springer
15 years 9 months ago
Hidden partitioning of a visual feedback-based neuro-controller
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Jean-Philippe Urban, Jean-Luc Buessler, Julien Gre...