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» A Review of Simulation Optimization Techniques
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ANSS
1998
IEEE
13 years 11 months ago
On Interval Weighted Three-Layer Neural Networks
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Mohsen Beheshti, Ali Berrached, André de Ko...
WSC
2004
13 years 8 months ago
Future of Simulation in Biotechnology Industry
In the 21st century, the Biotechnology industry has the potential to inspire a number of management tools and theories, just as the Automobile industry did in the 20th century. Th...
Prasad V. Saraph
IOR
2008
91views more  IOR 2008»
13 years 7 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
DDECS
2007
IEEE
143views Hardware» more  DDECS 2007»
14 years 1 months ago
An Experimental Analysis of SEU Sensitiveness on System Knowledge-based Hardening Techniques
Logic Soft Errors caused by radiation are a major concern when working with circuits that need to operate in harsh environments, such as space or avionics applications, where soft ...
Oscar Ruano, Pilar Reyes, Juan Antonio Maestro, Lu...
ICASSP
2009
IEEE
14 years 2 months ago
Transceiver design with vector perturbation technique and iterative power loading
— In this paper we consider the optimization of transceivers which use the nonlinear vector perturbation technique at the transmitter. Since the perturbation vector can be almost...
Ching-Chih Weng, P. P. Vaidyanathan