文章基本信息

标题：Application of Neuro-fuzzy System : A Literature Review
本地全文：下载
作者：Abdullahi Yusuf Egwoh ; Emmanuel Amano Onibere ; Philip Oshiokhaimhele Odion 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2018
卷号：18
期号：12
页码：1-6
出版社：International Journal of Computer Science and Network Security
摘要：Traditional algorithmic approaches are not suitable for solving today’s problems. Neuro-Fuzzy systems have recently become popular and promising choice among researchers in attempt to solve complex problems faced in any sector. The paper presents a brief review of most recent applications in agriculture and some other sector aimed at knowing future events in advance specifically employing neuro-fuzzy approach. The neuro-fuzzy systems designed and developed between 2000 and 2018 have been studied with the intention to explore the recent developments. Prominent applications in some wide-spread domains are considered with an outlook of their capabilities in respective domains. Mathematics is considered as art of all arts and science of all sciences. Most of mathematical terms and functions are used in many other branches like engineering, robotics, physic s etc. One of these terms is Fuzzy Logic. This term has become more popular in mathematics and in other branches as in engineering, medical science, robotics etc. and even in households also. This paper presents the concept of fuzzy logic and its application in different branches. This study represents the use of fuzzy logic approach in chemical science, medical science, agriculture, political science, operations research, in environment science and in household. This paper represents that fuzzy logic approach has mainly three phases: fuzzification, rule or inference and defuzzification. The findings indicated that fuzzy logic is a wide approach rather than a mathematical logic and is applicable in many branches.
关键词：Fuzzy logic application; Hybrid systems; Neural networks; Adaptive Neuro fuzzy Inference System (ANFIS).