Forecasting Model of Fiscal Revenue Based on Gray Deep Multi-layer Perceptron
YU Hui
Abstract：Aiming at the characteristics of fiscal revenue forecasting,this paper proposes a combined forecasting model based on gray model GM(1,1)and deep multi-layer perceptron(DMLP)neural network,combining with the current fiscal revenue com?bination forecasting method and deep learning theory. By using the data of Xi 'an 's fiscal revenue as the test sample,the model is proved to be of high precision,fast convergence and high accuracy with the promotion and practicality by comparing with the conven?tional BP neural network.
Keywords：fiscal revenue forecastdeep learninggray forecastingDMLP
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 25-29 )