Research of Computing the Vessels´ Collision Risk Index by Multiple Parameters Based on Neural Network with Genetic Algorithm

The study of vessel collision risk index and decision-making system of vessel collision avoidance has always been at the center of concern for all sailors and navigators. The article proposes the GA-BP algorithm. That is a combination of the Genetic Algorithm and the Neural Network. Then the article use it in the computing of the vessel´s Collision Risk Index by multiple parameters. It is indicated through the experimental results that the convergence and learning speed of using GA-BP algorithm to compute the Collision Risk Index, which compared with BP-ANN, are improved remarkably.