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A New Algorithm to Model Highly Nonlinear System based Coactive Neuro Fuzzy Inference System

by Tharwat O. S. Hanafy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 17
Year of Publication: 2014
Authors: Tharwat O. S. Hanafy
10.5120/16450-6066

Tharwat O. S. Hanafy . A New Algorithm to Model Highly Nonlinear System based Coactive Neuro Fuzzy Inference System. International Journal of Computer Applications. 94, 17 ( May 2014), 9-20. DOI=10.5120/16450-6066

@article{ 10.5120/16450-6066,
author = { Tharwat O. S. Hanafy },
title = { A New Algorithm to Model Highly Nonlinear System based Coactive Neuro Fuzzy Inference System },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 17 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number17/16450-6066/ },
doi = { 10.5120/16450-6066 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:17:54.946879+05:30
%A Tharwat O. S. Hanafy
%T A New Algorithm to Model Highly Nonlinear System based Coactive Neuro Fuzzy Inference System
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 17
%P 9-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, the Fusion of neural and fuzzy Systems will be investigated. Membership Function Generation and its mapping to Neural Network are introduced. . System modeling based on conventional mathematical tools (differential equations) is not well suited for dealing with ill-defined and uncertain systems. By contrast, a fuzzy inference system employing fuzzy if- then rules can model the qualitative aspects of human knowledge and reasoning process without employing precise quantitative analyses. An adaptive network fuzzy inference system (ANFIS) is introduced, and Multiple Inputs /Outputs Systems (Extended ANFIS Algorithm) is implemented. A Modification algorithm of ANFIS, Coupling of ANFIS called coactive neuro fuzzy system (CANFIS), is introduced and implemented. The software of the modified algorithm of MIMO model identification is built and generated by me or added as a toolbox to matlab. To test the validity of the modified algorithm ANFIS (CANFIS algorithm), a coupled inputs-outputs example is simulated from the numerical equation. The result of modified algorithm (CANFIS) showed a conformance with the simulated example and the root mean square (RMSE) is very small.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Nonlinear System Fuzzy Inference System ANFIS Neural Network

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