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FUZZIEEE
2007
IEEE
15 years 10 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
15 years 7 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
CSDA
2008
110views more  CSDA 2008»
15 years 6 months ago
Computing and using residuals in time series models
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
José Alberto Mauricio
COMGEO
1999
ACM
15 years 6 months ago
Simplifying spline models
We present a new approach for simplifying models composed of rational spline patches. Given an input model, the algorithm computes a new approximation of the model in terms of cub...
M. Gopi, Dinesh Manocha
ICCAD
2002
IEEE
126views Hardware» more  ICCAD 2002»
15 years 11 months ago
Robust and passive model order reduction for circuits containing susceptance elements
Numerous approaches have been proposed to address the overwhelming modeling problems that result from the emergence of magnetic coupling as a dominant performance factor for ICs a...
Hui Zheng, Lawrence T. Pileggi