Method for forecasting ship wake based on optimized support vector regression parameter

Abstract

The invention discloses a method for forecasting a ship wake based on an optimized support vector regression parameter, and the method comprises the following steps of: providing a training set firstly; selecting a type of a kernel function, and implementing a model training through a learning set to obtain a forecasting function; reading and judging whether a mean square error of the forecasting function reaches a precision requirement; if so, forecasting the ship wake through the function, if not, generating a parameter path searching map; searching an optimum parameter through an intelligent water drop algorithm until reaching the precision requirement. While searching an optimal parameter, the intelligent water drop has a positive feedback mechanism in an optimum searching process, therefore, a searching process is rapid and effective; a sand content of a path can change in accordance with the sand content of an optimum water drop after searching each generation of water drops, thereby avoiding a phenomenon of early maturing and improving a searching ability; a final forecasting function can be rapidly obtained; and rapid and effective forecasting of the ship wake is realized.

Description

technical field [0001] The invention relates to ship track prediction and analysis technology, in particular to a ship track prediction method based on an intelligent water drop algorithm to optimize least square support vector regression parameters. Background technique [0002] In the field of water traffic, the track prediction of a ship is of great significance. If a correct judgment can be made on the future track trend of a ship, corresponding measures can be taken in advance to avoid disadvantages and keep the target ship and other nearby ships in a safe state. operating environment. [0003] At present, the research on this problem mostly adopts more traditional methods, such as Kalman filter, particle filter, etc. These methods need to establish kinematics or dynamics equations, and environmental factors such as wind and current have a greater impact on ship motion, and interference The randomness and diversity of the game directly lead to the complexity of the mov...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is: to adopt the intelligent water droplet algorithm to optimize the least squares support vector regression parameters, provide an effective, fast and accurate ship track prediction method on this basis, and solve the existing least squares support vector regression application Problems in Ship Track Prediction

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