2173 search results - page 162 / 435 » Modelling of Complex Supply Networks |
98
Voted
WSC
1998
15 years 4 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
130
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CIMCA
2005
IEEE
15 years 9 months ago
2005
IEEE
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
156
Voted
AMFG
2007
IEEE
15 years 7 months ago
2007
IEEE
Abstract. This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. It is the ...
110
Voted
CIMCA
2005
IEEE
15 years 5 months ago
2005
IEEE
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
BC
2008
15 years 3 months ago
2008
Reduced models have long been used as a tool for the analysis of the complex activity taking place in neurons and their coupled networks. Recent advanced in experimental and theore...