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Reseach Article

Unsupervised Control Paradigm for Performance Evaluation

by Sathya Ramadass, Annamma Abraham
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 20
Year of Publication: 2012
Authors: Sathya Ramadass, Annamma Abraham
10.5120/6380-8850

Sathya Ramadass, Annamma Abraham . Unsupervised Control Paradigm for Performance Evaluation. International Journal of Computer Applications. 44, 20 ( April 2012), 27-31. DOI=10.5120/6380-8850

@article{ 10.5120/6380-8850,
author = { Sathya Ramadass, Annamma Abraham },
title = { Unsupervised Control Paradigm for Performance Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 20 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number20/6380-8850/ },
doi = { 10.5120/6380-8850 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:05.269923+05:30
%A Sathya Ramadass
%A Annamma Abraham
%T Unsupervised Control Paradigm for Performance Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 20
%P 27-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intelligent control denotes the capacity to acquire and apply knowledge in control process. The important characteristics of intelligent control systems are information abstraction and knowledge-based decision making. There are different control paradigms available in the literature including Artificial Neural Networks, Fuzzy Logic Systems, Genetic Algorithms, Hybrid Models and others. This paper attempts to design open loop controller using Self Organizing Map and studies its nature and accuracy with an example.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Competitive Learning Intelligent Control Rule Extraction Som Unsupervised Learning