Complex situation recognition on the basis of neural networks in shipboard intelligence system

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Abstract

The problem of complex dynamic object (DO) state identification in extreme situation is considered. Analysis is carried out on the basis of self-organising artificial neural network (ANN). Compression of the measuring information about object dynamics is achieved by means of cognitive structures. Identification procedure is realised with the help of inference in intelligence system (IS) of unsinkability monitoring of ships and marine vehicles. © Springer-Verlag 2002.

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APA

Nechaev, Y., Degtyarev, A., & Kiryukhin, I. (2002). Complex situation recognition on the basis of neural networks in shipboard intelligence system. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2331, 564–573. https://doi.org/10.1007/3-540-47789-6_59

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