193 search results - page 18 / 39 » Particle Swarm Optimization Based Learning Method for Proces... |
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 ...
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
IAT
2008
IEEE
14 years 2 months ago
2008
IEEE
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...
ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
AEI
2005
13 years 7 months ago
2005
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...