Bayesian network based towing cost assessment for submarine cable paths.

In order to solve the problem of evaluating the towing cost of submarine cable paths under arbitrary submarine terrain conditions, this paper adopted the particle swarm optimisation algorithm to plan submarine cable paths, evaluated the towing cost of submarine cable paths from the factors related to the towing cost of submarine cables, established the network structure of submarine cable paths for the evaluation of towing cost, and evaluated it with the static Bayesian network method. After the planning of the submarine cable path, the data related to the planned path were discretised and transformed into observation evidence for Bayesian network evaluation. Then, simulation experiments were conducted to evaluate the towing cost of the submarine cable path. Finally, the results of the simulation experiments were compared with the actual path results to verify the feasibility of Bayesian network application in this field. [ABSTRACT FROM AUTHOR]