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» The Emergent neural modeling system
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ISSA
2004
14 years 11 months ago
Utilizing Neural Networks For Effective Intrusion Detection
Computer security, and intrusion detection in particular, has become increasingly important in today's business environment, to help ensure safe and trusted commerce between ...
Martin Botha
NN
1998
Springer
14 years 9 months ago
Distributed ARTMAP: a neural network for fast distributed supervised learning
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...
EAAI
2007
199views more  EAAI 2007»
14 years 9 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
IWANN
2001
Springer
15 years 2 months ago
Pattern Repulsion Revisited
Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion...
Fabian J. Theis, Christoph Bauer, Carlos Garc&iacu...
CORR
2008
Springer
128views Education» more  CORR 2008»
14 years 9 months ago
Electricity Demand and Energy Consumption Management System
This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composted of an hourly demand-forecastin...
Juan Ojeda Sarmiento