Probabilistic diagnostics with P-graphs
This paper presents a novel approach for solving the probabilistic diagnosis problem in multiprocessor systems. The main idea of the algorithm is based on the reformulation of the diagnostic procedure as a P-graph model. The same, well-elaborated mathematical paradigm - originally used to model mat...
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2003
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| Sorozat: | Acta cybernetica
16 No. 2 |
| Kulcsszavak: | Számítástechnika, Kibernetika |
| Tárgyszavak: | |
| Online Access: | http://acta.bibl.u-szeged.hu/12723 |
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| 022 | |a 0324-721X | ||
| 040 | |a SZTE Egyetemi Kiadványok Repozitórium |b hun | ||
| 041 | |a eng | ||
| 100 | 1 | |a Polgár Balázs | |
| 245 | 1 | 0 | |a Probabilistic diagnostics with P-graphs |h [elektronikus dokumentum] / |c Polgár Balázs |
| 260 | |c 2003 | ||
| 300 | |a 279-291 | ||
| 490 | 0 | |a Acta cybernetica |v 16 No. 2 | |
| 520 | 3 | |a This paper presents a novel approach for solving the probabilistic diagnosis problem in multiprocessor systems. The main idea of the algorithm is based on the reformulation of the diagnostic procedure as a P-graph model. The same, well-elaborated mathematical paradigm - originally used to model material flow - can be applied in our approach to model information flow. This idea is illustrated by deriving a maximum likelihood diagnostic decision procedure. The diagnostic accuracy of the solution is considered on the basis of simulation measurements, and a method of constructing a general framework for different aspects of a complex problem is demonstrated with the use of P-graph models. | |
| 650 | 4 | |a Természettudományok | |
| 650 | 4 | |a Számítás- és információtudomány | |
| 695 | |a Számítástechnika, Kibernetika | ||
| 700 | 0 | 1 | |a Selényi Endre |e aut |
| 710 | |a Conference for PhD Students in Computer Science (3.) (2002) (Szeged) | ||
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/12723/1/cybernetica_016_numb_002_279-291.pdf |z Dokumentum-elérés |