Novelty detection using products of simple experts—a potential architecture for embedded systems
The ‘Product of Experts’ architecture (concentrating on binary-stochastic elements) is described in the context of its suitability for implementation as mixed-mode hardware, with algorithmic modifications that render the training procedure hardware-implementable. Results show that the PoE is capable...
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Veröffentlicht in: | Neural networks 2001-11, Vol.14 (9), p.1257-1264 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | The ‘Product of Experts’ architecture (concentrating on binary-stochastic elements) is described in the context of its suitability for implementation as mixed-mode hardware, with algorithmic modifications that render the training procedure hardware-implementable. Results show that the PoE is capable of modelling non-linear, multi-dimensional data drawn from both artificial and real sources. The capability of the PoE to perform on-line novelty detection is described and demonstrated on both artificial and real data. |
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ISSN: | 0893-6080 1879-2782 |
DOI: | 10.1016/S0893-6080(01)00097-1 |