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EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
15 years 3 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...
TEC
2008
109views more  TEC 2008»
15 years 5 months ago
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
Many areas in power systems require solving one or more nonlinear optimization problems. While analytical methods might suffer from slow convergence and the curse of dimensionality...
Y. del Valle, Ganesh K. Venayagamoorthy, Salman Mo...
BIB
2008
109views more  BIB 2008»
15 years 6 months ago
Computational intelligence approaches for pattern discovery in biological systems
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
Gary B. Fogel
CORR
2006
Springer
101views Education» more  CORR 2006»
15 years 6 months ago
Fast computation of power series solutions of systems of differential equations
We propose algorithms for the computation of the first N terms of a vector (or a full basis) of power series solutions of a linear system of differential equations at an ordinary ...
Alin Bostan, Frédéric Chyzak, Fran&c...
HAPTICS
2007
IEEE
16 years 9 days ago
Force Feedback is Noticeably Different for Linear versus Nonlinear Elastic Tissue Models
Realistic modeling of the interaction between surgical instruments and human organs has been recognized as a key requirement in the development of high-fidelity surgical simulato...
Sarthak Misra, Allison M. Okamura, K. T. Ramesh