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https://hdl.handle.net/10356/3415
Title: | Support vector machines for biomedical applications | Authors: | Chaw, Su Khine. | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics | Issue Date: | 2004 | Abstract: | Support Vector Machine Classification has been carried out on Cancer and Heart problems derived from Proben 1, an artificial standard benchmarking problem. The results data between SVM and BP will be compared to detect cancer and heart problem and used to contribute to the application of support vector machines in the biomedical aspect. | URI: | http://hdl.handle.net/10356/3415 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
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EEE-THESES_128.pdf Restricted Access | 4.82 MB | Adobe PDF | View/Open |
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