A novel discrete grey model with hyperbolic sinusoidal term and its applications of the regional gross domestic product forecasting

Xue-yong Tian, Hui Zhang, Yi Yang, Wenqing Wu, Peng Zhang, Gaoxun Zhang
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Abstract

An accurate forecast of Neijiang's regional gross domestic product is vital important for the construction of the Chengdu-Chongqing economic circle to some extent. In this work, a new grey model is proposed and applied to the regional gross domestic product of Neijiang city. The Neijiang city is in a superior geographical position in the construction of Chengdu-Chongqing economic circle. In this paper, firstly a discrete grey prediction model with hyperbolic sine driving term is proposed based on the corresponding continuous model. Secondly, the recursive function of the discrete model is deduced through the recursive formula, and then the parameter values of the model are calculated by the least square method. Finally, the trend of the regional gross domestic product of Neijiang city is predicted by the new model along with other forecasting models. By comparing results of these models, it is proved that the grey discrete model with hyperbolic sine driving term has higher accuracy.
一种新的双曲正弦项离散灰色模型及其在地区国内生产总值预测中的应用
准确预测内江区域生产总值对成渝经济圈建设具有重要意义。本文提出了一种新的灰色模型,并将其应用于内江市区域生产总值。内江市在成渝经济圈建设中处于优越的地理位置。本文首先在相应的连续模型的基础上,提出了一种带有双曲正弦驱动项的离散灰色预测模型。其次,通过递推公式推导离散模型的递推函数,然后利用最小二乘法计算模型的参数值;最后,结合其他预测模型对内江市区域生产总值的变化趋势进行了预测。通过比较这些模型的结果,证明了带有双曲正弦驱动项的灰色离散模型具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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