The interest in neuro--fuzzy systems has grown tremendously over the last few years. First approaches concentrated mainly on neuro--fuzzy controllers, whereas newer approaches can also be found in the domain of data analysis. After successful applications in Japan neuro--fuzzy concepts also find their way into the European industries, though mainly simple models, like FAMs, still prevail. This paper shortly reviews some modern neuro--fuzzy concepts. After this a generic neuro--fuzzy model is presented, that serves a foundation for specific derived neuro--fuzzy applications, this is shown with a model for neuro--fuzzy data analysis, which we see as an important perspective for the neuro--fuzzy domain. The paper concludes with some thoughts o...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
In the design process of a fuzzy system it can be difficult to find optimal membership functions. Af...
Contents 0.1 Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1...
Abstract- Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerf...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
This document describes the architecture of neuro fuzzy systems. First part of the document provides...
This article presents an analysis of the application of the neuro-fuzzy models in the medical area. ...
[[abstract]]Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control...
Integration of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS) have attracted the...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
To use fuzzy controllers for automization tasks appropriate fuzzy sets and fuzzy rules have to be de...
Abstract: The neuro fuzzy system based on two independent structures is described, the first a neuro...
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of cov...
A neurofuzzy approach for a given set of input-output training data is proposed in two phases. First...
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition....
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
In the design process of a fuzzy system it can be difficult to find optimal membership functions. Af...
Contents 0.1 Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1...
Abstract- Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerf...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
This document describes the architecture of neuro fuzzy systems. First part of the document provides...
This article presents an analysis of the application of the neuro-fuzzy models in the medical area. ...
[[abstract]]Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control...
Integration of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS) have attracted the...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
To use fuzzy controllers for automization tasks appropriate fuzzy sets and fuzzy rules have to be de...
Abstract: The neuro fuzzy system based on two independent structures is described, the first a neuro...
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of cov...
A neurofuzzy approach for a given set of input-output training data is proposed in two phases. First...
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition....
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
In the design process of a fuzzy system it can be difficult to find optimal membership functions. Af...
Contents 0.1 Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1...