Diagnosing ADHD by MR images using meta-cognitive radial basis function network
The purpose of this experiment is to explore two different feature selection methods, the T-test and Spectral Feature Selection, on the training data, so that the features that are more crucial and contribute most to detecting whether a child has ADHD can be extracted and used to train the Meta-cogn...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/59007 |