目的:基于战场搜救装备体系的构建实际,探讨定性定量相结合的装备体系作战能力需求论证方法。方法:采用美国国防部体系结构框架(Department of Defense architecture framework,DoDAF)中的作战视角和能力视角,构建战场搜救装备体系作战...目的:基于战场搜救装备体系的构建实际,探讨定性定量相结合的装备体系作战能力需求论证方法。方法:采用美国国防部体系结构框架(Department of Defense architecture framework,DoDAF)中的作战视角和能力视角,构建战场搜救装备体系作战能力需求论证方法框架。从战场搜救行动、组织关系和作战节点关系3个方面分析作战需求。采用行动-能力映射分析能力需求,并对能力需求重要度进行定量评估。结果:通过该方法可分析出战场搜救装备体系的作战能力需求,而且论证过程结构化,逻辑更加清晰。结论:该论证方法能为战场搜救装备体系作战能力需求论证提供理论和方法指导,具有较好的可行性和科学性。展开更多
Aimed to the characters of pests forecast such as fuzziness, correlation, nonlinear and real-time as well as decline of generalization capacity of neural network in prediction with few observations, a method of pests ...Aimed to the characters of pests forecast such as fuzziness, correlation, nonlinear and real-time as well as decline of generalization capacity of neural network in prediction with few observations, a method of pests forecasting using the method of neural network based on fuzzy clustering was proposed in this experiment. The simulation results demonstrated that the method was simple and practical and could forecast pests fast and accurately, particularly, the method could obtain good results with few samples and samples correlation.展开更多
文摘目的:基于战场搜救装备体系的构建实际,探讨定性定量相结合的装备体系作战能力需求论证方法。方法:采用美国国防部体系结构框架(Department of Defense architecture framework,DoDAF)中的作战视角和能力视角,构建战场搜救装备体系作战能力需求论证方法框架。从战场搜救行动、组织关系和作战节点关系3个方面分析作战需求。采用行动-能力映射分析能力需求,并对能力需求重要度进行定量评估。结果:通过该方法可分析出战场搜救装备体系的作战能力需求,而且论证过程结构化,逻辑更加清晰。结论:该论证方法能为战场搜救装备体系作战能力需求论证提供理论和方法指导,具有较好的可行性和科学性。
基金Supported by Guangxi Science Research and Technology Explora-tion Plan Project(0815001-10)~~
文摘Aimed to the characters of pests forecast such as fuzziness, correlation, nonlinear and real-time as well as decline of generalization capacity of neural network in prediction with few observations, a method of pests forecasting using the method of neural network based on fuzzy clustering was proposed in this experiment. The simulation results demonstrated that the method was simple and practical and could forecast pests fast and accurately, particularly, the method could obtain good results with few samples and samples correlation.
