Enhanced Synergetic Classifier For Personal Emotion Classification


Wong , Wee Ming (2011) Enhanced Synergetic Classifier For Personal Emotion Classification. Masters thesis, Multimedia University.

Full text not available from this repository.


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.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Users 1102 not found.
Date Deposited: 03 Jan 2013 01:37
Last Modified: 03 Jan 2013 01:37
URII: http://shdl.mmu.edu.my/id/eprint/3760


Downloads per month over past year

View ItemEdit (login required)