Influence of the Training Methods in the Diagnosis of Multiple Sclerosis Using Radial Basis Functions Artificial Neural Networks
The data available in the average clinical study of a disease is very often small. This is one of the main obstacles in the application of neural networks to the classification of biological signals used for diagnosing diseases. A rule of thumb states that the number of parameters (weights) that can...
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2015-04-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
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| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/BA117GT14.pdf
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