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114
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IJCNN
2006
IEEE
15 years 7 months ago
2006
IEEE
Abstract— Dynamic neural networks with different timescales include the aspects of fast and slow phenomenons. Some applications require that the equilibrium points of these netwo...
IJCNN
2006
IEEE
15 years 7 months ago
2006
IEEE
— In this study, we address the durability of the brain, which is able to operate in various imperfect situations. In our previous research, we have proposed a new network struct...
CORR
2010
Springer
15 years 1 months ago
2010
Springer
The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biologi...
105
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ICANN
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
111
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ENGL
2006
15 years 1 months ago
2006
A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control...