Enhanced probabilistic neural network with data imputation capabilities for machine-fault slassification
This paper presents the expectation-maximization (EM) variant of probabilistic neural network (PNN) as a step toward creating an autonomous and deterministic PNN. In the real world, faulty reading sensors can happen and will create input vectors with missing features yet they should not be discarded...
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| Format: | Article |
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2009
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| Subjects: | |
| Online Access: | http://download.springer.com/static/pdf/595/art%253A10.1007%252Fs00521-008-0215-1.pdf?auth66=1352708360_fa50f6e8bd3ed4f29308866ca10becc5&ext=.pdf http://download.springer.com/static/pdf/595/art%253A10.1007%252Fs00521-008-0215-1.pdf?auth66=1352708360_fa50f6e8bd3ed4f29308866ca10becc5&ext=.pdf |
Internet
http://download.springer.com/static/pdf/595/art%253A10.1007%252Fs00521-008-0215-1.pdf?auth66=1352708360_fa50f6e8bd3ed4f29308866ca10becc5&ext=.pdfhttp://download.springer.com/static/pdf/595/art%253A10.1007%252Fs00521-008-0215-1.pdf?auth66=1352708360_fa50f6e8bd3ed4f29308866ca10becc5&ext=.pdf