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An Improvement of Non-Linear Neuro-Fuzzy Model Properties
A fuzzy neural network is constructed based on fuzzy model Takagi-Sugeno type. By learning of tne neural network we can tune of embedded initial fuzzy model. To show the applicability of ...
JB - Senzory, čidla, měření a regulace
- 2001 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Parameters optimization of fuzzy-neural dynamic model
In this paper we proposed a fuzzy neural network model which can embody a fuzzy Takagi-Sugeno model and curry out fuzzy inference and support structure of fuzzy). Then a fuzzy
IN - Informatika
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
RBF neural network implementation of fuzzy systems: Application to time series modeling
At first, we discuss the basic structure of the fuzzy system as a simple yet powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based by the cloud model. Time s...
IN - Informatika
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling
At first, we discuss the basic structure of the fuzzy system as a simple yet powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based on very similar underlying mathemat...
AH - Ekonomie
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
Liguistically Fuzzy Rules Derived by Neural Network
A fuzzy time series model is proposed and applied to predict chaotic financial process. The general methodological framework of classical and fuzzy modelling of economic time series is considered. A complete fu...
AH - Ekonomie
- 2010 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Granular RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling
fuzzy modeling technique. Neural networks and fuzzy logic models are based on very similar underlying mathematics. The similarity between RBF networks and fuzzy models to output fuzz...
AH - Ekonomie
- 2007 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Structural and Parametrical Indentification of Fuzzy Neural Model
A new method of structure and parameters optimization of rule based fuzzy TS model through its identification using area of artificial neural network technology....
JD - Využití počítačů, robotika a její aplikace
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Determination of fuzzy relations for economic fuzzy time series models by neural networks
Based on the works [11, 22: 27] a fuzzy time series model is proposed of classical and fuzzy modelling of economic time series is considered. A complete fuzzy time series modelling approach is pro...
IN - Informatika
- 2003 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Online Learning of Neural Takagi-Sugeno Fuzzy Model
of Online Learning Fuzzy Neural Regression Model (OLNFRM).In this paper a fuzzy neural network is proposed which embodies a fuzzy Takagi-Sugeno model to approximate the input-output data...
AH - Ekonomie
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Approximation and Forecasting Ability of Various RBF and Granular NNW: Application to Sales Process Modelling
At first, we discuss the basic structure of the fuzzy system as a simple yet powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based by the cloud model. Time s...
AH - Ekonomie
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
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