基于虚拟驾驶员的多元离散灰色模型

Ke Zhang
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引用次数: 7

摘要

针对传统预测模型不能考虑定性相关因素的问题,提出了一种多元离散灰色预测模型。首先,通过引入虚拟驱动器,建立了一个新的模型。然后讨论了模型的参数估计方法和递归函数。在此基础上,提出了虚拟驱动器的设置、虚拟驱动器的前后测试方法。最后,利用该模型对河南省农村居民人均收入进行了预测。结果与其他灰色预测模型进行了比较,证明该模型不仅精度高,而且物理意义清晰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multivariate Discrete Grey Model base on Dummy Drivers
A multivariate discrete grey forecasting model is proposed to solve the problem that the qualitative relative factors can't be employed in traditional models. Firstly, a new model is constructed though introducing dummy drivers. Then, the parameters estimation method and recursive function of the model are discussed. Furthermore, dummy driver setting, pre and posttest methods of dummy drivers are proposed. At last, the per capita income forecasting of rural residents in Henan province of China is solved with the proposed model. The results are compared with other grey forecasting models, and prove that proposed model has not only high accuracy, but also clear physical meaning.
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