Research on Prediction of Manpower Loss Due to Naval War Injury Based on SVR
REN Dongyan
LIU Wenbao
ZHANG Kaili
Abstract：This paper analyzes and quantifies the main influencing factors of naval war injury,and establishes the predicted model based on SVR by training the data of 64 sea battles since World War II.The simulation results show that SVR has higher pre-dicted accuracy in solving the problems of small sample,non-linear and high-dimensional pattern recognition,combined with mili-tary background,by inputting the existing estimated conditions and using the model of SVR,manpower loss can be predicted,which provides a new method for manpower loss due to naval war injury.
Keywords：SVRnaval warmanpower lossprediction
Publication Date：2025-01-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 84-89,95 )