Meta-cognitive sequential learning in RBF network for diagnosis of neurodegenerative diseases
This research work focuses on the development of meta-cognitive sequential learning algorithms in Radial Basis Function (RBF) network classifiers, and their application to the early diagnosis of neurodegenerative diseases. The important issues in existing sequential learning algorithms are proper se...
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Format: | Thesis |
Language: | English |
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2014
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Online Access: | https://hdl.handle.net/10356/61782 |