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» Adaptive fuzzy modeling versus artificial neural networks
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ECCC
2000
158views more  ECCC 2000»
13 years 5 months ago
On the Computational Power of Winner-Take-All
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...
Wolfgang Maass
ANSS
1998
IEEE
13 years 10 months ago
An Adaptive Synchronization Protocol for Parallel Discrete Event Simulation
Simulation, especially discrete event simulation (DES), is used in a variety of disciplines where numerical methods are difficult or impossible to apply. One problem with this met...
Keith R. Bisset
ESANN
2000
13 years 7 months ago
Load forecasting dealing with medium voltage network reconfiguration
Planing the operation in modern power systems requires suitable anticipation of load evolution at different levels of distribution network. Under this perspective, load forecasting...
José Nuno Fidalgo, João Abel Pe&cced...
BMCBI
2007
179views more  BMCBI 2007»
13 years 5 months ago
Automated smoother for the numerical decoupling of dynamics models
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
ML
2000
ACM
157views Machine Learning» more  ML 2000»
13 years 5 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins