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Volumn 37, Issue 10, 2004, Pages 263-268

Neural network augmented identification of underwater vehicle models

Author keywords

Autonomous vehicles; Back propagation; Marine systems. neural networks; Nonlinear systems; System identification; Time varying systems

Indexed keywords

BACKPROPAGATION; IDENTIFICATION (CONTROL SYSTEMS); MARINE APPLICATIONS; NONLINEAR SYSTEMS; TIME VARYING SYSTEMS;

EID: 11244279478     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)31743-3     Document Type: Conference Paper
Times cited : (8)

References (7)
  • 4
    • 0026806616 scopus 로고
    • A hybrid neural network - First principles approach to process modeling
    • Psichogios, D. C. and L. H. Ungar (1992), A hybrid neural network - first principles approach to process modeling. AIChE J. 38, 1499-1511.
    • (1992) AIChE J , vol.38 , pp. 1499-1511
    • Psichogios, D.C.1    Ungar, L.H.2
  • 5
    • 85064455565 scopus 로고    scopus 로고
    • Chap. Mathematical modeling of dynamically positioned and thruster assisted anchored marine vessels, CRC Press
    • Sørensen, A. J. and M. Ronisss (2000). The Ocean Engineering Handbook. Chap. Mathematical modeling of dynamically positioned and thruster assisted anchored marine vessels, pp. 176-89. CRC Press.
    • (2000) The Ocean Engineering Handbook , pp. 176-189
    • Sørensen, A.J.1    Ronisss, M.2
  • 6
    • 0028484335 scopus 로고
    • Modeling chemical processes using prior knowledge and neural networks
    • Thompson, M. L. and M. A. Kramer (1994). Modeling chemical processes using prior knowledge and neural networks. AIChE J-40, 1328-40.
    • (1994) AIChE J , vol.40 , pp. 1328-1340
    • Thompson, M.L.1    Kramer, M.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.