A hybrid spiking neural network model for multivariate data classification and visualization.

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A hybrid spiking neural network model for multivariate data classification and visualization.

This study proposes a hybrid model of Self-Organizing Map with modified adaptive coordinates (SOM-AC) and Spiking Neural Network (SNN) for multivariate spatial and temporal data visualization and classification. SOM is one of the most prominent unsupervised learning algorithms. Recently, many extens...

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Bibliographic Details
Main Authors:	Ming, Leong Yii, Teh, Chee Siong, Chen, Chwen Jen
Format:	Proceeding
Language:	English
Published:	2011
Subjects:	L Education (General) T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/9976/ http://ir.unimas.my/id/eprint/9976/1/A%20hybrid.pdf

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