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ISNN
2004
Springer
16 years 25 days ago
Robust Adaptive Control Using Neural Networks and Projection
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
Xiaoou Li, Wen Yu
IJON
2006
138views more  IJON 2006»
15 years 7 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong
WIOPT
2005
IEEE
16 years 1 months ago
Interference Power Sum with Log-Normal Components in Ad-Hoc and Sensor Networks
The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power ...
Ramin Hekmat, Piet Van Mieghem
ICML
2009
IEEE
16 years 8 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
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DSN
2000
IEEE
15 years 12 months ago
DEEM: A Tool for the Dependability Modeling and Evaluation of Multiple Phased Systems
Multiple-Phased Systems, whose operational life can be partitioned in a set of disjoint periods, called “phases”, include several classes of systems such as Phased Mission Sys...
Andrea Bondavalli, Ivan Mura, Silvano Chiaradonna,...