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中文摘要：
税收是国家发展的动力,民生提高的根本。通过建立合理模型,对相关经济变量进行了分析检验,进而提供未来税收的预测信息。基于渭南地税实际数据,通过建立一元回归、多元回归、曲线拟合、时序模型及神经网络的多预测模型,在分层单项模型基础上,定性定量相结合,建立组合预测模型,分配权重综合预测,克服了单一模型的局限性,进行了有效的实证研究。
英文摘要：
Revenue is the driving force of national development and the foundation of peoples＇ livelihood. This paper analyses the correlation of economic variables and establishes reasonable models to provide further tax forecast information. Based on the actual data of Weinan Tax Bureau,we establish multi-model featuring on single element regression,multi-element regression,curve simulating model,time series model and the NN forecast non-linear forecasting. Then we sets up a forecast model allocating weight coefficient to overcome the limitations of a single model and make an effective empirical study.
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