Review of ANFIS and its Application in Control of Machining Processes

Kabini, S.K.,; Ikua, B.W.; Nyakoe, G.N.

dc.contributor.author	Kabini, S.K.,
dc.contributor.author	Ikua, B.W.
dc.contributor.author	Nyakoe, G.N.
dc.date.accessioned	2017-02-14T06:49:58Z
dc.date.available	2017-02-14T06:49:58Z
dc.date.issued	2017-02-13
dc.identifier.uri	http://hdl.handle.net/123456789/2684
dc.description.abstract	Adaptive Neural Fuzzy Inference Systems (ANFIS) are increasingly becoming popular in the modern world. This is due to their ability to model or represent vagueness in day to day activities or processes. These systems have the potential to adaptively control processes that present a difficulty to the conventional control techniques due to their ability to predict the likely outcome given a set of conditions or inputs. This paper looks at ANFIS and its applications in multidisciplinary fields and specifically, its use in control of machining processes. Some potential areas of application ANFIS are highlighted.	en_US
dc.language.iso	en	en_US
dc.subject	ANFIS	en_US
dc.subject	Adaptive	en_US
dc.subject	Control	en_US
dc.subject	Machining	en_US
dc.subject	JKUAT	en_US
dc.title	Review of ANFIS and its Application in Control of Machining Processes	en_US
dc.type	Article	en_US