Abstract: Introduces a systematic approach for fuzzy system design based on a class of neural fuzzy networks built upon a general neuron model.
Introduces a systematic approach for fuzzy system design based on a class of neural fuzzy networks built upon a general neuron model.
This paper presents a new method to design the neuro-fuzzy systems. The procedure is composed of several separated techniques such as the WTA algorithm ...
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In this paper, neural networks are used in a novel way to solve the problem of tuning a fuzzy logic controller. The neuro fuzzy controller uses the neural ...
This paper reviews the underlying ideas and applications of fuzzy and neural control systems. Neurofuzzy control and decision systems that are being developed ...
Fuzzy Neural Networks - an overview | ScienceDirect Topics
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The neurofuzzy system uses a set of fuzzy rules to approximate a mapping function represented as a three- to five-layered feedforward neural network (Chao et al ...
Jan 6, 2022 · This document displays the design and implementation of a neuro-fuzzy controller based on Boolean relations to regulate the angular position in an ...
In this paper, neural networks are used in a novel way to solve the problem of tuning a fuzzy logic controller. The neuro fuzzy controller uses the neural ...
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature.
In this work, we utilize a neuro-fuzzy system to use human driving knowledge to tune and adjust the input-output parameters of a fuzzy if-then system. The neuro ...