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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Main Authors: | Ming, Leong Yii, Teh, Chee Siong, Chen, Chwen Jen |
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Format: | Proceeding |
Language: | English |
Published: |
2011
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/9976/1/A%20hybrid.pdf http://ir.unimas.my/id/eprint/9976/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5999509&tag=1 |
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