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Fuzzy Logic and Granular RBF Neural Networks: An Application to the Input-Output Function Estimation of Sales Processes
In this paper the outputs of RBF neurons of an RBF neural network networks, i. e. soft or granular neural networks are able to handle a state concern with learning aspects of
AH - Ekonomie
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
RBF Neural Networks for Time Series Modelling and Forecasting
In this paper the classic and soft radial basis function (RBF) neural networks are modified by Gaussian cloud concept. We concern with learning aspects of granular RBF networks. We also compare th...
IN - Informatika
- 2015 •
- D
Rok uplatnění
D - Stať ve sborníku
RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling
powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based on very similar underlying mathematics. The similarity between RBF networks and fuzzy modelsis noted in detail. Then, we propose ...
AH - Ekonomie
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
Econometrics and Soft Computing
analysis and error corrected models, basic of soft computing, machine learning with support vector method, neural networks, fuzzy systems and RBF neural networksThe object of the publication is t...
AH - Ekonomie
- 2008 •
- B
Rok uplatnění
B - Odborná kniha
Approximation and Prediction of Wages Based on Granular Neural Network
methods and conventional/soft RBF neural networks. Results are analysedThe article offers detailed computational algorithm used in this type of neural networks, extends their applications to fit ...
AH - Ekonomie
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Sales time series modeling using Box-Jenkins methodology and rbf neural networks
We examine the class of RBF neural network models for the approximation models RBF networks and fuzzy models is noted. Time series approximation by applying RBF neural networks o...
AH - Ekonomie
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Approximation and Forecasting Ability of Various RBF and Granular NNW: Application to Sales Process Modelling
powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based on very similar underlying mathematics. The similarity between RBF networks and fuzzy modelsis noted in detail. Then, we propose ...
AH - Ekonomie
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
COMPARISON OF THE FORECASTING ABILITY OF VARIOUS RBF NNW MODELS WITH STATISTICAL MODELS
powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based on very similar underlying mathematics. The similarity between RBF networks and fuzzy modelsis noted in detail. Then, we propose ...
IN - Informatika
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Fundamentals of soft models in textiles
The first part of this chapter is devoted to the description of basic principles of empirical model building. In the second parts selected variants of neural networks are proposed. The radial basic functions (RBF) netwo...
JJ - Ostatní materiály
- 2011 •
- C •
- Link
Rok uplatnění
C - Kapitola v odborné knize
Výsledek na webu
Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models
powerful fuzzy modeling technique. Then, the similarity between RBF networks and fuzzy models is noted in detail. Then, we propose the extension of RBF neural networks by the cloud model. Time series appr...
AH - Ekonomie
- 2007 •
- D
Rok uplatnění
D - Stať ve sborníku
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