Adaptive SVDD for Multivariate Process monitoring
碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 100 === Suppor Vector Data Description（SVDD）is originally developed as a one-class classifier. The objective of SVDD is to find a optimized hypersphere that can tightly envelop the training data. Recently, SVDD is widely used for several fields, such as image featur...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/89742060341485569761 |