The PLA at Home and Abroad - Strategic Studies Institute - U.S. Army

78. Feng Yongmin, Zhang Lingling, and Wang Guijing, Military
Transportation Institute, Tianjin, “Analysis and Countermeasures
on the Present Situation of China’s Military Logistics Standardization”
(“我军军物流标准化的现状分析及对策”), Logistics
Technology, No. 7, 2005, pp. 86-88, 91.
79. Liu Haijun, Logistics Command Academy, Beijing, “Application
of VMI (Velocity Managed Inventory) Strategy in Military
Logistics,” (“VMI 策略在军事物流领域中的应用”), Military Logistics,
Academic Edition, Issue 6, 2004, pp. 63-65; Chang Jiane and Liu
Guojing, School of Mechantronic Engineering, Wuhan University
of Technology, Wuhan, “Analysis of Air Material Inventory Management
Based on SCM, Supply Chain Management)” (“浅谈基于
供应链的航材库存管理”); and Li Jie, Chen Huansheng, Sun Ronglin,
and Guo Zhenbin, Department of Military Supplies, Xuzhou
Air Force Institute, Xuzhou, “Military Inventory Control System
Based on MAS, Multi-Agent System) in the Condition of Agile
Logistics” (“灵敏后勤条件下基于多智能体的军队库存控制系统研
究”).
80. Zhang Zhiyong and Kuang Xinhau, School of Management,
National University of Defense Technology, Changsha,
“Study on the Order Forecasting Method of Military Logistics
Based on BP Neural Net” (“其于BP神经网给的军事物流订单预测
方法研究”), Logistics Technology, No. 12, 2005, pp. 66-69.
81. The BP neural network algorithm is commonly used to
predict oil deposits, for example. One Chinese conference paper
available in English, describes BP as a “relatively perfect feedforward
neural network algorithm.” BP is discussed within wide
discussion of the development and application of “fuzzy logic”
to enhance the ability to predict and forecast resources and requirements.
Meng Qingwu, Li Chengbin, Cheng Hu, and Li Ti,
“Software Department, Daqing Petroleum Administrative Bureau,
Improved BP Network Algorithm Based on Fuzzy Logic
and Application in Geophysics,” Conference Paper for ESIT 2000,
September 14-15, 2000, Aachen, Germany.
82. Chen Yao, Yang Xilong, Wang Jin, and Jiang Honggon,
Department of Information Engineering, Logistics Engineering
University, Chongqing, “Intelligent Simulation of Military Logis-
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