Prediction Algorithm for the Capability of Health Service Support Based on Support Vector Machine

被引：0
|
作者：
Zhou, Wen-Ming [1 ]
Fan, Yong-Yue [1 ]
Xia, Wen-Xiang [1 ]
Zhang, Chun-Rong [2 ]
机构：
[1] Logist Acad, Simulat Training Ctr, Beijing 100858, Peoples R China
[2] Second Artillery, Dept Mat & Oil, Beijing 100085, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷
关键词：
Support Vector Machine (SVM); Health Service Support; Pattern Classification; Prediction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The health service support is very important for maintaining and enforcing effective military personal power to consolidate and improve battle effectiveness. Key links and main influencing factors of the health service support are analyzed. The index system of efficiency evaluation is presented. Due to the merits of the effective non-line method established on statistics and characteristics of generalization for support vector machine (SVM), propose a prediction algorithm for the capability of health service support based on it. The logistics command decision and system optimum design of the health service support are strongly supported by the prediction algorithm.
引用
收藏
页码：523 / 531
页数：9
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