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A neuro-fuzzy systems for control applications

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Conference object 24 Dec 2002Publisher:IEEEJournal:1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report
Authors: F. BERARDI; CHIABERGE, MARCELLO; E. MIRANDA; L. M. REYNERI;

doi: 10.1109/isnfs.1996.603829

handle: 11583/1650654

A neuro-fuzzy systems for control applications

Abstract

This paper describes DANIELA a neuro-fuzzy system for control applications. The system is based on a custom neural device that can implement either multilayer perceptrons, radial basis functions or fuzzy paradigms. The system implements intelligent control algorithms mixing neuro-fuzzy paradigms with finite state automata and is used to control a walking hexapod.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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