CAJ | 학술논문

logistic模型的应用非常广泛。其模型参数是影响精度的重要因素之一，文章在现有文献基础上，提出一种新的改进方法，即牛顿插值法和最优权重法对模型参数进行估计。实例分析表明，该方法在一定程度上提高了模型相关系数，降低了模型偏差，且具有较为理想的预测效果。
logistic모형적응용비상엄범。기모형삼수시영향정도적중요인소지일，문장재현유문헌기출상，제출일충신적개진방법，즉우돈삽치법화최우권중법대모형삼수진행고계。실례분석표명，해방법재일정정도상제고료모형상관계수，강저료모형편차，차구유교위이상적예측효과。
The logistic model is also called block growth model, its application is very wide. The model parameters is one of the important factors affecting accuracy. In this paper, based on the existing literature, a new method was put forward, namely the Newton interpolation method and the optimal weighting method for model parameter estimation. The analysis shows that it can improve the correlation coefficient, reduce the error, and has satisfactory forecast results.