Abstract
The concept of soft computing (SC) and Artificial Intelligence methods (AI) for design of ship-board intelligence system (IS) of safety navigation and submarine dynamic object control are discussed. The syntheses of the underwater vehicle control rules is considered as practical application on the base of fuzzy logic elements and neural networks (NN) logic base. The genetic algorithm is used for forming NN training succession. Control law topology corresponds to multilayer NN.
Preview
Unable to display preview. Download preview PDF.
References
Nechaev Yu. I. Ship-Board Intelligence System: Conception and Special Features of Information, Calculation and Measuring Technology // Proceeding of International Symposium “Marine Intelligence System”. St. Petersburg, 1966, Paper I, pp. 1–7.
Nechaev Yu. I. Principles Using of Measuring Means on the Ship-Board Real-Time Intelligent System // Proceedings of national conference on Artificial Intelligence. Kasan, 1996, vol. 2, pp. 362–364.
Zadeh L. A. Fuzzy Logic, Neural Networks, and Soft Computing. Fuzzy systems, March 1994, Vol. 37, No 3, pp. 77–84.
KrishnaKumar K. Genetic algorithms: An introduction and an overview of their capabilities. — AIAA Guid. Navig. and Confr. Cont. Hilton Head Island, S.C., Aug. 10–12, 1992, Pt2.
Neural networks for control / Miller W.T., Sutton R.S., Werbos P.J., Eds. The MIT Press, 1990.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nechaev, Y.I., Siek, Y.L. (1998). Design of ship-board control system based on the soft computing conception. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_405
Download citation
DOI: https://doi.org/10.1007/3-540-64574-8_405
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64574-0
Online ISBN: 978-3-540-69350-5
eBook Packages: Springer Book Archive