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Negnevitsky, M, “Identification of failing banks using clustering with self-organising neural networks”, Procedia Computer Science, 12-14 June 2017, Zurich, Switzerland, pp. 1327-1333. ISSN 1877-0509 (2017) [Conference Extract] | |
Data Type | Value |
---|---|
Type of Research | Pure Basic Research |
Research Division | Engineering |
Research Group | Control engineering, mechatronics and robotics |
Research Field | Field robotics |
Research Objective Division | Manufacturing |
Research Objective Group | Machinery and equipment |
Research Objective Field | Machinery and equipment not elsewhere classified |
Visit Item on eCite | http://ecite.utas.edu.au/129718 |
Digital Object Identifier | doi:10.1016/j.procs.2017.05.125 |
Scopus Source URL | View the full record on Scopus |
Scopus Citing URL | View the list of citing articles on Scopus |
Web of Science® Source URL | View the full record on Web of Science® |
Web of Science® Citing URL | View the list of citing articles on Web of Science® |
Web of Science® Related URL | View the list of related articles on Web of Science® |
Number of Times Cited | 9 |
Number of Downloads | 121 |