贝叶斯网络模型在训练评价中的应用

IEEE Conference Anthology Pub Date : 1900-01-01 DOI:10.1109/ANTHOLOGY.2013.6784851

Xiaojian Liu, Yongping Xin, Jianpeng Cui, Lei Lei

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引用次数: 0

摘要

训练效果的测量是困难的。在培训评估中存在着很大的不确定性。给出了贝叶斯网络的大不确定性信息表达和概率推理。简单介绍了贝叶斯网络理论。考虑了培训的实践。针对三种方法，建立了基于静态贝叶斯网络的训练评价模型。三种方法所建立的训练评估模型均基于GeNIe2.0环境。该模型具有代表性。

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The application of Bayesian network model in evaluation of training

The measurement of training effect is difficult. Much incertitude exists in evaluation of training. The great uncertain information expression and the probability reasoning of the Bayesian networks are presented. Bayesian network theory is introduced simply. The practices of training are considered. The evaluation model of training based on static Bayesian networks is established for three methods. The training evaluation model built for three methods are based on GeNIe2.0 environment. The model is representative.

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IEEE Conference Anthology

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