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» Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling
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TFS
2008
174views more  TFS 2008»
13 years 9 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
WSC
2004
13 years 10 months ago
HDPS, an XML/XSLT Based Hierarchal Modeling System
HDPS is a practical system for designing modeling paradigms, creating hierarchal model definitions, and evaluating multi-paradigm models - particularly in business and finance. HD...
Richard Evan Curry, Kiriakos Vlahos
EUSFLAT
2009
169views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Decentralized Adaptive Fuzzy-Neural Control of an Anaerobic Digestion Bioprocess Plant
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
Ieroham S. Baruch, Rosalba Galvan-Guerra
CIMCA
2006
IEEE
14 years 3 months ago
Direct Adaptive Fuzzy Control with Less Restrictions on the Control Gain
: In the adaptive fuzzy control field for affine nonlinear systems, there are two basic configurations: direct and indirect. It is well known that the direct configuration needs mo...
Phi Anh Phan, Timothy J. Gale
SAFECOMP
2004
Springer
14 years 2 months ago
Using Fuzzy Self-Organising Maps for Safety Critical Systems
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
Zeshan Kurd, Tim Kelly