Add to ORKGAbstract: The neuro fuzzy system based on two independent structures is described, the first a neuro-observer system developed by use of dynamical neural networks, and the second as the control system based on fuzzy logic system. These structures are described by independent way and their properties are analyzed. Besides, the neuro-fuzzy system performance is proved by the application to the Bergman th blood Insulin-Glucose interaction model, the simulations show the neuro-fuzzy output as the insulin infusor output (insulin concentration), the glucose concentration estimated state is also described, as well as the inferential rules and the membership functions in the fuzzy
To use fuzzy controllers for automization tasks appropriate fuzzy sets and fuzzy rules have to be de...
A controller that combines the main characteristics and advantages of three different control method...
: The design and optimization process of fuzzy controllers can be supported by learning techniques d...
Abstract- Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerf...
The interest in neuro--fuzzy systems has grown tremendously over the last few years. First approache...
This document describes the architecture of neuro fuzzy systems. First part of the document provides...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
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...
Abstract. Diabetes is one of the most serious public health problems of today. According to the IDF ...
A neurofuzzy approach for a given set of input-output training data is proposed in two phases. First...
The thesis deals with artificial neural networks theory. Subsequently, fuzzy sets are being describe...
In order to achieve correct behavior the control system of an autonomous robot must perform many com...
In this article, an algorithm was created for choosing a 5-level architecture of a neuro-fuzzy model...
To use fuzzy controllers for automization tasks appropriate fuzzy sets and fuzzy rules have to be de...
A controller that combines the main characteristics and advantages of three different control method...
: The design and optimization process of fuzzy controllers can be supported by learning techniques d...
Abstract- Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerf...
The interest in neuro--fuzzy systems has grown tremendously over the last few years. First approache...
This document describes the architecture of neuro fuzzy systems. First part of the document provides...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
Two distinctive approaches are studied in this report to design neuro-fuzzy control systems for indu...
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...
Abstract. Diabetes is one of the most serious public health problems of today. According to the IDF ...
A neurofuzzy approach for a given set of input-output training data is proposed in two phases. First...
The thesis deals with artificial neural networks theory. Subsequently, fuzzy sets are being describe...
In order to achieve correct behavior the control system of an autonomous robot must perform many com...
In this article, an algorithm was created for choosing a 5-level architecture of a neuro-fuzzy model...
To use fuzzy controllers for automization tasks appropriate fuzzy sets and fuzzy rules have to be de...
A controller that combines the main characteristics and advantages of three different control method...
: The design and optimization process of fuzzy controllers can be supported by learning techniques d...