Sciweavers

15 search results - page 1 / 3
» Universal Approximation of Multiple Nonlinear Operators by N...
Sort
View
48
Voted
NECO
2002
45views more  NECO 2002»
15 years 13 days ago
Universal Approximation of Multiple Nonlinear Operators by Neural Networks
Andrew D. Back, Tianping Chen
103
Voted
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
109
Voted
TSMC
1998
135views more  TSMC 1998»
15 years 13 days ago
Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
— In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
Elias B. Kosmatopoulos
NN
2008
Springer
158views Neural Networks» more  NN 2008»
15 years 22 days ago
Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and
Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area coordinating neurocont...
Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Har...
JMLR
2008
188views more  JMLR 2008»
15 years 8 days ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani