一种新的数理逻辑模型及其应用

Q3 Engineering
H. Pham, David H. Pham
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引用次数: 13

摘要

我们提出了一个新的四参数logistic增长模型,其中数量函数的变化率与单位时间内每个数量的剩余数量成正比。该模型可用于确定时间t的预期数量。讨论了几个实际应用,以说明新模型的有用性,包括地震发生事件,学生人数增长和软件建模。举例说明拟合优度提出的模型和现有的逻辑增长模型基于实际数据集收集的软件应用程序,地震事件在美国,和一个高中毕业班。三个拟合优度检验标准和最近的归一化标准距离法用于说明模型比较。结果表明,该模型的拟合效果明显优于已有的增长模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Mathematical Logistic Model and Its Applications
We present a new 4-parameter logistic growth model where the rate of change of quantity function is directly proportional to its remaining quantity for growth by a time-dependent logistic function per quantity per unit time. The model can be used to determine the expected number of quantities at time t. Several real world applications are discussed to illustrate the usefulness of the new model including the earthquake occurrence events, the student population growth, and the software modeling. Examples are included to illustrate the goodness-of-fit of the proposed model and existing logistic growth models based on real data sets collected from software applications, earthquake events in the US, and a high school senior class. Three goodness-of-fit test criteria and a recent normalized criteria distance method are used to illustrate the model comparisons. The results show that the proposed model fit significantly better than other existing growth models.
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来源期刊
International Journal of Information and Management Sciences
International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
期刊介绍: - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence
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