Meta-cognitive neural network for classification problems in a sequential learning framework
In this paper, we propose a sequential learning algorithm for a neural network classifier based on human meta-cognitive learning principles. The network, referred to as Meta-cognitive Neural Network (McNN). McNN has two components, namely the cognitive component and the meta-cognitive component. A r...
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Main Authors: | , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/98781 http://hdl.handle.net/10220/13658 |
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Institution: | Nanyang Technological University |
Language: | English |
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