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Discrete Verhulst model based on a linear time-varying

机译：基于线性时变的离散Verhulst模型

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Purpose - The purpose of this paper is to build a linear time-varying discrete Verhulst model (LTDVM), to realise the convert from continuous forms to discrete forms, and to eliminate traditional grey Verhulst model's error caused by difference equations directly jumping to differential equations. Design/methodology/approach - The methodology of the paper is by the light of discrete thoughts and countdown to the original data sequence. Findings - The research of this model manifests that LTDVM is unbiased on the "s" sequential simulation. Practical implications - The example analysis shows that LTDVM embodies simulation and prediction with high precision. Originality/value - This paper is to realise the convert from continuous forms to discrete forms, and to eliminate traditional grey Verhulst model's error caused by difference equations directly jumping to differential equations. Meanwhile, the research of this model manifests that LTDVM is unbiased on the "s" sequential simulation.
机译：目的-本文的目的是建立一个线性时变离散Verhulst模型（LTDVM），以实现从连续形式到离散形式的转换，并消除传统的灰色Verhulst模型由差分方程直接跳转到微分方程引起的误差。 。设计/方法论/方法-本文的方法论是基于离散思想和对原始数据序列的倒计时。发现-该模型的研究表明LTDVM在“ s”顺序仿真上没有偏见。实际意义-实例分析表明LTDVM体现了高精度的仿真和预测。独创性/价值-本文旨在实现从连续形式到离散形式的转换，并消除传统的灰色Verhulst模型的误差，这些误差是由差分方程直接跳到微分方程引起的。同时，对该模型的研究表明，LTDVM在“ s”顺序仿真上没有偏见。

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