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A framework for intelligent multi agent system based neural network classification model

Intelligent multi agent systems have great potentials to use in different purposes and research areas. One of the important issues to apply intelligent multi agent systems in real world and virtual environment is to develop a framework that support machine learning model to reflect the whole compl...

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Main Authors: Asadi, Roya, Mustapha, Norwati, Sulaiman, Md. Nasir
Format: Article
Language:English
Published: 2009
Online Access:http://psasir.upm.edu.my/id/eprint/12696/1/A%20framework%20for%20intelligent%20multi%20agent%20system%20based%20neural%20network%20classification%20model.pdf
http://psasir.upm.edu.my/id/eprint/12696/
https://sites.google.com/site/ijcsis/vol-5-september-2009
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spelling my.upm.eprints.126962016-09-01T05:36:29Z http://psasir.upm.edu.my/id/eprint/12696/ A framework for intelligent multi agent system based neural network classification model Asadi, Roya Mustapha, Norwati Sulaiman, Md. Nasir Intelligent multi agent systems have great potentials to use in different purposes and research areas. One of the important issues to apply intelligent multi agent systems in real world and virtual environment is to develop a framework that support machine learning model to reflect the whole complexity of the real world. In this paper, we proposed a framework of intelligent agent based neural network classification model to solve the problem of gap between two applicable flows of intelligent multi agent technology and learning model from real environment. We consider the new Supervised Multi-layers Feed Forward Neural Network (SMFFNN) model as an intelligent classification for learning model in the framework. The framework earns the information from the respective environment and its behavior can be recognized by the weights. Therefore, the SMFFNN model that lies in the framework will give more benefits in finding the suitable information and the real weights from the environment which result for better recognition. The framework is applicable to different domains successfully and for the potential case study, the clinical organization and its domain is considered for the proposed framework. 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12696/1/A%20framework%20for%20intelligent%20multi%20agent%20system%20based%20neural%20network%20classification%20model.pdf Asadi, Roya and Mustapha, Norwati and Sulaiman, Md. Nasir (2009) A framework for intelligent multi agent system based neural network classification model. International Journal of Computer Science and Information Security, 5 (1). pp. 168-174. ISSN 1947-5500 https://sites.google.com/site/ijcsis/vol-5-september-2009
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Intelligent multi agent systems have great potentials to use in different purposes and research areas. One of the important issues to apply intelligent multi agent systems in real world and virtual environment is to develop a framework that support machine learning model to reflect the whole complexity of the real world. In this paper, we proposed a framework of intelligent agent based neural network classification model to solve the problem of gap between two applicable flows of intelligent multi agent technology and learning model from real environment. We consider the new Supervised Multi-layers Feed Forward Neural Network (SMFFNN) model as an intelligent classification for learning model in the framework. The framework earns the information from the respective environment and its behavior can be recognized by the weights. Therefore, the SMFFNN model that lies in the framework will give more benefits in finding the suitable information and the real weights from the environment which result for better recognition. The framework is applicable to different domains successfully and for the potential case study, the clinical organization and its domain is considered for the proposed framework.
format Article
author Asadi, Roya
Mustapha, Norwati
Sulaiman, Md. Nasir
spellingShingle Asadi, Roya
Mustapha, Norwati
Sulaiman, Md. Nasir
A framework for intelligent multi agent system based neural network classification model
author_facet Asadi, Roya
Mustapha, Norwati
Sulaiman, Md. Nasir
author_sort Asadi, Roya
title A framework for intelligent multi agent system based neural network classification model
title_short A framework for intelligent multi agent system based neural network classification model
title_full A framework for intelligent multi agent system based neural network classification model
title_fullStr A framework for intelligent multi agent system based neural network classification model
title_full_unstemmed A framework for intelligent multi agent system based neural network classification model
title_sort framework for intelligent multi agent system based neural network classification model
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/12696/1/A%20framework%20for%20intelligent%20multi%20agent%20system%20based%20neural%20network%20classification%20model.pdf
http://psasir.upm.edu.my/id/eprint/12696/
https://sites.google.com/site/ijcsis/vol-5-september-2009
_version_ 1643825106391138304
score 13.211869

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