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» Soft-computing techniques for time series forecasting
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CORR
2011
Springer
189views Education» more  CORR 2011»
13 years 3 months ago
Volatility made observable at last
— The Cartier-Perrin theorem, which was published in 1995 and is expressed in the language of nonstandard analysis, permits, for the first time perhaps, a clear-cut mathematical...
Michel Fliess, Cédric Join, Fréd&eac...
CORR
2002
Springer
139views Education» more  CORR 2002»
13 years 8 months ago
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
Boris Kovalerchuk, Evgenii Vityaev, H. Yusupov
EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 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 ...
ESANN
2007
13 years 10 months ago
Causality analysis of LFPs in micro-electrode arrays based on mutual information
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
Nikolay V. Manyakov, Marc M. Van Hulle
ICSE
2010
IEEE-ACM
14 years 1 months ago
An eclectic approach for change impact analysis
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...
Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora,...