基于大数据分析的潜射武器作战运用

Operational Application of Submarine-launched Weapons Based on Big Data Analysis

针对潜射武器作战运用中的大数据分析问题,对潜射武器作战运用进行研究。论述大数据概念以及特点,重点阐述神经网络、群体智能和相关分析3种大数据分析方法的主要思想、应用范围,提出潜射武器作战运用与大数据分析技术相结合的装备健康状态评估、火力分配优化、边界条件验证等作战运用模型,指出大数据分析在潜射武器作战运用中应用的可行性。研究结果表明:大数据分析技术对潜射武器的作战运用和数据处理有一定帮助。该研究可对大数据分析在解决潜射武器作战运用提供一定参考。

To solve the question of big data analysis of submarine-launched weapons,research on operational application of submarine-launched weapons.Discuss the conception and characteristic of big data,emphasis on main idea and application area of neural network,swarm intelligence and correlation analysis.Operational application models of submarine-launched weapons techniques were proposed based on big data analysis techniques,including of weapon health evaluation,firepower distribution optimization,identifying of boundary condition.Feasibility analysis of big data analysis application in operational application of submarine-launched weapon was proposed.The result demonstrated that big data analysis techniques can be used to operational application and data processing.The study can provide a reference of solving operational application of submarine-launched weapons with big data analysis techniques.