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Proceedings ArticleDOI

A temporal neurofuzzy model for rule-based systems

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TLDR
A temporal neuro-fuzzy model using fuzzy reasoning which is capable of representing the temporal information and aimed to be used in a medical diagnosis systems is reported.
Abstract
The paper reports the development of a temporal neuro-fuzzy model using fuzzy reasoning which is capable of representing the temporal information. The system is implemented as a feedforward multilayer neural network. The learning algorithm is a modification of the backpropagation algorithm. The system is aimed to be used in a medical diagnosis systems.

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Citations
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Proceedings ArticleDOI

Temporal neurofuzzy MAR algorithm for time series data in rule-based systems

N.A. Sisman, +1 more
TL;DR: A neurofuzzy model for constructing a knowledge-base of temporal fuzzy rules obtained by a MAR (multivariate autoregressive) algorithm and its main parts are fuzzy-rule extraction and storage.
References
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Book

Perceptrons: An Introduction to Computational Geometry

TL;DR: The aim of this book is to seek general results from the close study of abstract version of devices known as perceptrons.
Book

Foundations of neural networks, fuzzy systems, and knowledge engineering

TL;DR: This text is the first to combine the study of neural networks and fuzzy systems, their basics and their use, along with symbolic AI methods to build comprehensive artificial intelligence systems.
Journal ArticleDOI

A new approach to fuzzy-neural system modeling

TL;DR: A simple fuzzy-neural network is introduced for modeling systems, and it is proved that it can represent any continuous function over a compact set and provide a method to simplify the neural network.
Journal ArticleDOI

A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications.

TL;DR: This paper outlines some of the theoretical and practical developments being made in neurofuzzy systems and discusses a wide variety of open research questions and suggests areas where new efforts may be fruitfully applied in "intelligent" modelling and control problems.