Add to ORKGDeriving parameters and structure of fuzzy model for a dynamical system by means of a clustering procedure is a very popular and frequently applied technique in fuzzy identification. The aim of the paper is to present a novel method of fuzzy model formulation based on this approach. Introduced algorithm is based on clustering method employing nonparametric kernel density gradient estimation. Proposed technique is automatic and attains functionality free from arbitrary assumptions concerning "shapes " of data samples, the number of rules and any other user defined parameters. Illustrative results of computer simulations using MATLAB scientific environment are enclosed. The outcome of such experimental verification demonstrates high...
In fuzzy control, there is a large amount of parameters involved in the system design. Due to their ...
A fuzzy clustering technique, modified to deal with multiattribute clusters, allows an integrated ap...
Abstract This publication deals with the applicational aspects and possibilities of the Complete Gra...
Data clustering constitutes at present a commonly used technique for extracting fuzzy system rules f...
[[abstract]]In this paper, a hybrid clustering and gradient descent approach is proposed for automat...
To build a fuzzy model, as proposed by Takagi and Sugeno (1985), the authors emphasize an interactiv...
The most promising methods for identifying a fuzzy model are data clustering, cluster merging and su...
[[abstract]]In this paper, a clustering-based algorithm is proposed for automatically constructing a...
The most promising methods for identifying a fuzzy model are data clustering, cluster merging and su...
[[abstract]]In this paper, a clustering-based method is proposed for automatically constructing a mu...
We have observed that the support vector clustering method proposed by Asa Ben Hur, David Horn, Hava...
In this work, we propose a new method to model and control complex nonlinear dynamic systems. The su...
This paper investigates the use of a fuzzy method as a tool for model identification of a non linea...
In this work, we propose a new method to model and control complex nonlinear dynamic systems. The su...
Abstract: Fuzzy rules have a simple structure within a multidimensional vector space and they are pr...
In fuzzy control, there is a large amount of parameters involved in the system design. Due to their ...
A fuzzy clustering technique, modified to deal with multiattribute clusters, allows an integrated ap...
Abstract This publication deals with the applicational aspects and possibilities of the Complete Gra...
Data clustering constitutes at present a commonly used technique for extracting fuzzy system rules f...
[[abstract]]In this paper, a hybrid clustering and gradient descent approach is proposed for automat...
To build a fuzzy model, as proposed by Takagi and Sugeno (1985), the authors emphasize an interactiv...
The most promising methods for identifying a fuzzy model are data clustering, cluster merging and su...
[[abstract]]In this paper, a clustering-based algorithm is proposed for automatically constructing a...
The most promising methods for identifying a fuzzy model are data clustering, cluster merging and su...
[[abstract]]In this paper, a clustering-based method is proposed for automatically constructing a mu...
We have observed that the support vector clustering method proposed by Asa Ben Hur, David Horn, Hava...
In this work, we propose a new method to model and control complex nonlinear dynamic systems. The su...
This paper investigates the use of a fuzzy method as a tool for model identification of a non linea...
In this work, we propose a new method to model and control complex nonlinear dynamic systems. The su...
Abstract: Fuzzy rules have a simple structure within a multidimensional vector space and they are pr...
In fuzzy control, there is a large amount of parameters involved in the system design. Due to their ...
A fuzzy clustering technique, modified to deal with multiattribute clusters, allows an integrated ap...
Abstract This publication deals with the applicational aspects and possibilities of the Complete Gra...