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CIMCA
2006
IEEE
13 years 8 months ago
An Improvement in Sugeno-Yasukawa Modeler
Structure identification is one of the most significant steps in Fuzzy modeling of a complex system. Efficient structure identification requires good approximation of the effectiv...
Amir Hossein Hadad, Saeed Shiry Ghidary, Saeed Bag...
EUSFLAT
2003
120views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
A Type 2 fuzzy system modelling algorithm
In this paper, a modified fuzzy system modelling algorithm that incorporates Type 2 fuzzy sets, which is based on intervalvalued membership degrees rather than singleton membershi...
Kemal Kilic, Özge Uncu, I. Burhan Türkse...
EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
PPSN
2010
Springer
13 years 3 months ago
First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes
Abstract. This paper extends a recently proposed model for combinatorial landscapes: Local Optima Networks (LON), to incorporate a first-improvement (greedyascent) hill-climbing a...
Gabriela Ochoa, Sébastien Vérel, Mar...
ICASSP
2008
IEEE
13 years 11 months ago
Improving the modeling of the noise part in the harmonic plus noise model of speech
Harmonic + Noise model (HNM) is a hybrid model of speech with a harmonic component and a noise component. While harmonic part describes efficiently the periodicities in speech si...
Yannis Pantazis, Yannis Stylianou