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A Case Study: Black African Countries Human Resources Management

机译:案例研究:黑色非洲国家人力资源管理

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This paper represents a case study of Black African Countries Human Resources Management and a Hidden Markov Model (HMM) based prognosis method was used to predict the educational system policy state of those countries. Not only a HMM allows modeling the time duration of the hidden state but is also capable of prognosis. The estimated state duration probability distributions can be used to predict the remaining useful life of the any system. In order the characterized the deteriorating state of system, the aging factor that discounts the probability of staying while increasing the probabilities of transition to less healthy state was introduced. At least the grey model was used to compute the expected residual life (ERL). The educational system policy behavior can be predicted with its health prognosis.
机译:本文代表了对黑人非洲国家人力资源管理的案例研究,并采用了基于隐马尔可夫模型(HMM)的预后方法来预测这些国家的教育制度政策状态。不仅HMM允许建模隐藏状态的持续时间,但也能够预后。估计的状态持续时间概率分布可用于预测任何系统的剩余使用寿命。为了表征了系统的恶化状态,介绍了折扣在增加过渡的概率的概率折扣到更严重状态的概率。至少灰色模型用于计算预期的残余寿命(ERL)。教育系统政策行为可以预测其健康预后。

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