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CIMCA
2006
IEEE
13 years 9 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 7 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 3 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 4 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
14 years 5 days 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