31 search results - page 4 / 7 » Multilayer Perceptron: Architecture Optimization and Trainin... |
161
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
137
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TSMC
2002
15 years 5 months ago
2002
This paper describes the dynamic control of a 3 degree of freedom (DOF) finger emulating a human finger for reaching a desired fingertip position in space. The control consists of ...
172
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DATE
2008
IEEE
16 years 4 days ago
2008
IEEE
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
140
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AIA
2007
15 years 7 months ago
2007
In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
147
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IJCNN
2000
IEEE
15 years 10 months ago
2000
IEEE
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...