256 search results - page 6 / 52 » Optimal transfer function neural networks |
ICANN
2001
Springer
14 years 10 days ago
2001
Springer
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
ISNN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
GECCO
2010
Springer
14 years 19 days ago
2010
Springer
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
ICAISC
2004
Springer
14 years 1 months ago
2004
Springer
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...