Sun, K.; Wu, J.; Sun, Z., and Cao, Z., 2019. Optimal path planning method of marine sailboat based on fuzzy neural network. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 911–916. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the automatic planning and adaptive scheduling ability of sailing route and guide the management of sailing route, an optimal path planning model based on fuzzy neural network is proposed. The control instruction information of sailing route planning is extracted by using wireless sensor networking information scheduling technology, and the sailing route planning is carried out by combining the network information recognition and pattern scheduling of sailing route at sea. The statistical big data is extracted, the fuzzy scheduling of the associated feature set after information sampling is carried out, and the fuzzy neural network control technology is used to automatically screen and optimize the route of sailing route planning at sea. The information management platform of the Internet of things is constructed to carry out the automatic planning and distributed cooperative scheduling of the sailing route at sea, and the statistical data of the route planning of the sailing ship collected by all the member nodes are evenly configured in the cluster of things. The fuzzy PID neural network learning method is used to plan the sailing route of marine sailboat, and the distributed cooperative scheduling of sailing route planning is realized according to the result of automatic optimization. The simulation results show that the system can effectively realize the automatic planning and optimal scheduling of sailing route, and the reliability of route planning is high and the convergence is good.