The neural method of sea bottom shape modelling for the spatial maritime information system

Water Studies

Volumn 51, Issue , 2000, Pages 251-259

  Stateczny, A ^a  

^a MARITIME UNIVERSITY OF SZCZECIN   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; FUNCTIONS; HYDROGRAPHIC SURVEYS; MATHEMATICAL MODELS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

GENERALIZED REGRESSION NEURAL NETWORK (GRNN); HYDROGRAPHICAL DATA; MARITIME INFORMATION SYSTEMS; SEA BOTTOM SHAPE MODELING;

OCEAN ENGINEERING;

EID: 2642571821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. Balicki J., Kitowski Z., Stateczny A., Modelling of shape of sea bottom - by means of artificial neural networks. VIII Conference of Spatial Information Systems. Warszawa, pp. 160-172, 1998.
3. th Bilateral Meeting Poland-Italy Monselice 1997.
4. Hertz J., Krogh A., Palmer R. G., Introduction to the Theory of Neural Calculations. WNT, Warszawa 1993r.
5. Korbicz J., Obuchowicz A., Uciński D., Artificial Neural Networks - Basics and Applications. AOW, Warszawa 1994.
6. Kuchariew G., Stateczny A., Modelling of the shape of sea bottom - by means of classical methods. VIII Conference of Spatial Information Systems. Warszawa, pp. 151-160, 1998.
7. Masters T., Neural Networks in Practice. WNT Warszawa 1996
8. Osowski S., Neural Networks in Algorithmic Form WNT Warszawa 1996
9. Stateczny A., Spatial model of shape of sea bottom - as layer three-dimensional numerical sea chart. IX Conference of Spatial Information Systems. Warszawa, pp. 317-323, 1999.
10. Tadeusiewicz R., Neural Networks. AOW, Warszawa. 1993 r.