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» Training Neural Networks with GA Hybrid Algorithms
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CSL
2007
Springer
13 years 8 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana
ICANN
2010
Springer
13 years 8 months ago
Tumble Tree - Reducing Complexity of the Growing Cells Approach
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
Hendrik Annuth, Christian-A. Bohn
EPIA
2003
Springer
14 years 1 months ago
Evolutionary Neuroestimation of Fitness Functions
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
Jesús S. Aguilar-Ruiz, Daniel Mateos, Domin...
IJON
2007
98views more  IJON 2007»
13 years 8 months ago
Convergent design of piecewise linear neural networks
Piecewise linear networks (PLNs) are attractive because they can be trained quickly and provide good performance in many nonlinear approximation problems. Most existing design alg...
Hema Chandrasekaran, Jiang Li, W. H. Delashmit, Pr...
IWANN
2009
Springer
14 years 3 months ago
Automatic Generation of Biped Walk Behavior Using Genetic Algorithms
Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, com...
Hugo Picado, Marcos Gestal, Nuno Lau, Luís ...