Enhanced Synergetic Classifier For Personal Emotion Classification

This research proposed the synergetic computer melting algorithm (SC-Melt),as an attractor neural network,is proposed to classify the data obtained into the different emotion classes. Weight distribution for each channel in the decision fusion is optimised with the particle swarm optimisation (PSO)...

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Bibliographic Details
Main Author:	Wong , Wee Ming
Format:	Thesis
Published:	2011
Subjects:	QA76.75-76.765 Computer software
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id	my-mmu-ep.3760
record_format	uketd_dc
spelling	my-mmu-ep.37602013-01-03T01:37:58Z Enhanced Synergetic Classifier For Personal Emotion Classification 2011-12 Wong , Wee Ming QA76.75-76.765 Computer software This research proposed the synergetic computer melting algorithm (SC-Melt),as an attractor neural network,is proposed to classify the data obtained into the different emotion classes. Weight distribution for each channel in the decision fusion is optimised with the particle swarm optimisation (PSO) algorithm. 2011-12 Thesis http://shdl.mmu.edu.my/3760/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Engineering and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA76.75-76.765 Computer software
spellingShingle	QA76.75-76.765 Computer software Wong , Wee Ming Enhanced Synergetic Classifier For Personal Emotion Classification
description	This research proposed the synergetic computer melting algorithm (SC-Melt),as an attractor neural network,is proposed to classify the data obtained into the different emotion classes. Weight distribution for each channel in the decision fusion is optimised with the particle swarm optimisation (PSO) algorithm.
format	Thesis
qualification_level	Master's degree
author	Wong , Wee Ming
author_facet	Wong , Wee Ming
author_sort	Wong , Wee Ming
title	Enhanced Synergetic Classifier For Personal Emotion Classification
title_short	Enhanced Synergetic Classifier For Personal Emotion Classification
title_full	Enhanced Synergetic Classifier For Personal Emotion Classification
title_fullStr	Enhanced Synergetic Classifier For Personal Emotion Classification
title_full_unstemmed	Enhanced Synergetic Classifier For Personal Emotion Classification
title_sort	enhanced synergetic classifier for personal emotion classification
granting_institution	Multimedia University
granting_department	Faculty of Engineering and Technology
publishDate	2011
_version_	1747829552055320576

Enhanced Synergetic Classifier For Personal Emotion Classification

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