Title: Fuzzy logics associated with neural networks in intelligent control for better world

Authors: G. Arul Dalton; G. Prabhakar Reddy; K. Sai Prasad

Addresses: Department of Computer Science and Engineering, MLRIT, Dundigal, Telangana, India ' Department of Computer Science and Engineering, MLRIT, Dundigal, Telangana, India ' Department of Computer Science and Engineering, MLRIT, Dundigal, Telangana, India

Abstract: Nowadays, technology is growing wide spread with innovate thought. Day by day changes are being made to technology. A fast growing area in computer sciences is neural networks. Neural network is a computer system modelled on the human brain and human nervous system. Neural networks are sometimes referred to as an artificial human brain. Neural network is a subset of algorithms to construct artificial neurons. The human brain is transformed into plastic brain by neural networks. Neural networks are formed by interconnecting the number of information cells to process information. There is no guarantee that the system can work for all type of tasks. It may sometimes fail for certain tasks. To perform actions as humans, it is referred to as fuzzy logic. Today, fuzzy logic is an unprecedented popularity in technological and engineering fields. This topic teaches how computers can work as humans. This paper deals with fuzzy logic applications in the real world. Neural networks, computational intelligence techniques, intelligent control, instrument and robotics include fuzzy logics to perform the action in an easier way.

Keywords: fuzzy-logics; neural networks; computational intelligence; intelligent control.

DOI: 10.1504/IJRIS.2018.096228

International Journal of Reasoning-based Intelligent Systems, 2018 Vol.10 No.3/4, pp.322 - 327

Received: 28 Aug 2017
Accepted: 26 Nov 2017
Published online: 19 Nov 2018 *

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