计算机与数字工程2025，Vol.53Issue(1)：84-89,95,7.DOI:10.3969/j.issn.1672-9722.2025.01.017
基于支持向量机的海战伤减员预测研究
Research on Prediction of Manpower Loss Due to Naval War Injury Based on SVR
任东彦 1刘文宝 2张凯丽1
作者信息
- 1. 海军军医大学海军卫勤训练基地 上海 200433
- 2. 海军军医大学卫生勤务学系 上海 200433
- 折叠
摘要
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.关键词
支持向量机/海战/减员/预测Key words
SVR/naval war/manpower loss/prediction分类
交通工程引用本文复制引用
任东彦,刘文宝,张凯丽..基于支持向量机的海战伤减员预测研究[J].计算机与数字工程,2025,53(1):84-89,95,7.
