Research on the Maritime Search and Rescue Based on Genetic AIgorithm and BP NeuraI Network
In recent years, activities at sea became so frequent that the number of maritime accidents increased sharply, which put forward higher re-quirements to the method of maritime search and rescue. Because sea rescue work involves so many factors, uses genetic algorithm to at-tribute reduction of the factors involved in the work of rescue to get the smallest feature subset, and standardizes the selected property. Then uses the processed attributes as the initial input values of the BP neural network to train the network to sort the cases based on the difficulty in order to improve the search efficiency.
Genetic Algorithm(GA)Attribute ReductionBP Neural NetworkMaritime Search and Rescue
NETL
NSTL
万方数据
维普
