This paper presents an effective radio wave propagation prediction model by using radiation sources tree for microcellular environment. This model is based on ray-tracing and UTD.
提出了一种有效的微蜂窝电波传播预测模型，该模型基于射线跟踪法和UTD理论，并使用辐射源树的方法。
OBJECTIVE To set up the prediction model for evaluating the risk of diabetes mellitus(DM)in community by application of decision tree with data from health records.
目的利用居民健康档案数据和决策树方法，建立糖尿病预测模型，建立社区新型糖尿病高危人群筛选模式。
Empirical results show that genetic programming model is more advantageous than traditional statistical models, neural network models and decision tree models in prediction accuracy and robustness.
检验结果表明，该模型在预测精度、实用价值和鲁棒性方面都优于传统的统计模型、神经网络模型和决策树模型。
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