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Using GA-BP Neural Network to Assist Ship Design

With the rapid development of science and technology today, the development of science and technology is very rapid, and many traditional industries have been affected. The purpose of this paper is to apply artificial intelligence technology to the process of ship design, which can help us improve work efficiency and save the time needed for preliminary design of ships. This paper applies deep learning, taking the length and ton of 1568 FRP ships as input data, and the breadth and depth of the ship as output data. After the neural network has been fully learned, we can use the it to predict new ships. However, in this process, it was found that there are some problems in the use of BP neural network alone. It is easy to fall into local minimum, and the network structure is unstable. Therefore, based on BP network, genetic algorithm is added to form GA-BP neural network, which improves the accuracy and stability of prediction.