Marine Resource Exploration Streamer Control Model Based on Artificial Neural Network.

Zong, K., 2020. Marine resource exploration streamer control model based on artificial neural network. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 855–859. Coconut Creek (Florida), ISSN 0749-0208. In order to improve the control effect of the marine resource exploration streamer control model, a control model based on artificial neural network was proposed. First, the basic concepts and composition structure of marine resource exploration streamer control, the working process of the digibird cascade control system are introduced. The control mathematical model based on the cascade system was established and the principle analysis of the marine resource exploration streamer control was completed. Second, the basic concept and application of artificial neural network were studied. A form of artificial neural network was selected to design the control algorithm. Finally, the artificial neural network was used to calculate and its effect in the marine resource exploration streamer control model was verified. The simulation experiment results show that the designed model has good control effect on marine resource exploration streamer, and its control efficiency is high. [ABSTRACT FROM AUTHOR]