1) tax forecasting
税收预测
1.
Aiming at the drawback in classical BP artificial networks and combining with genetic algorithms, this paper puts forwards the tax forecasting model based on real number coded GA-BP artificial networks; This model achieves satisfactory results based on integrating with recurrent forecasting method.
针对经典的BP人工神经网络所存在的缺陷,结合遗传算法,提出了基于实数编码的GA-BP神经网络税收预测模型。
2.
Then we apply it to tax forecasting,our conclusion shows that this method is superior to the statistical modeling approach.
并将新建立的模型应用到税收预测中,得出了比常规经济学模型更优的效果。
2) taxation forecasting
税收预测
1.
During the investigation,the original data are preprocessed to meet the requirements of the study in BP neural network,and a taxation forecasting model based on BP neural network is established.
首先对初始数据进行预处理,使其适应BP神经网络学习的要求,然后建立基于BP神经网络的税收预测模型。
2.
Finally,a kind of error correction model on taxation forecasting has been established based on the theory of cointegration.
首先运用单位根检验方法验证了税收收入与GDP的非平稳性,进而通过协整检验证明二者之间存在着长期稳定的均衡关系,最后建立了基于协整理论的税收预测误差修正模型。
3) Customs Taxation Forecast
海关税收预测
4) Notification of Taxation in Advance
税收预警
1.
A Few Suggestions on Implementing the Model of “Notification of Taxation in Advance”;
有效实施“税收预警”的几点建议
5) APRT
预收石油收入税
6) toll prediction
收费预测
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条