498 search results - page 36 / 100 » Training Neural Networks with GA Hybrid Algorithms |
103
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ISNN
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These condi...
131
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ACIIDS
2009
IEEE
14 years 11 months ago
2009
IEEE
In this study, we propose a method of stability analysis for a GA-Based reference ANNC capable of handling these types of problems for a nonlinear system. The initial values of the...
101
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CONIELECOMP
2006
IEEE
15 years 8 months ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
133
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ICMLA
2010
14 years 12 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
118
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IJON
2006
15 years 1 months ago
2006
This paper proposes a novel and successful method for recognizing palmprint based on radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by the ...