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Research on Requirement Prediction of Equipment Maintenance Supporting Resources Based on Data Mining

机译:基于数据挖掘的装备维修保障资源需求预测研究

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Equipment maintenance supporting resources is the important condition of forming and playing the fighting capacity. Aimed at the fast change, various type and difficulty prediction of supporting resources under the modern war, this text firstly analyzes roundly the process and method of data mining, sets up the grey prediction model by combining characteristic of supporting resources, applies Markov model to correct and optimize the prediction values, and verifies the feasibility of model by specific living example. It provides a new way and method to the requirement prediction of equipment maintenance supporting resources.
机译:装备维修保障资源是形成和发挥战斗力的重要条件。针对现代战争下支持资源的快速变化,各种类型和难易程度的预测,本文首先全面分析了数据挖掘的过程和方法,结合支持资源的特点建立了灰色预测模型,运用马尔可夫模型进行校正。并通过具体的实例验证了预测值,验证了模型的可行性。为设备维护支持资源的需求预测提供了一种新的途径和方法。

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