计算机与数字工程2018，Vol.46Issue(1)：25-29,5.DOI:10.3969/j.issn.1672-9722.2018.01.007
基于灰色深层感知器的财政收入预测模型
Forecasting Model of Fiscal Revenue Based on Gray Deep Multi-layer Perceptron
于辉1
作者信息
- 1. 西安邮电大学计算机学院 西安 710121
- 折叠
摘要
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.关键词
财政收入预测/深度学习/灰色模型/深层感知器Key words
fiscal revenue forecast/deep learning/gray forecasting/DMLP分类
信息技术与安全科学引用本文复制引用
于辉..基于灰色深层感知器的财政收入预测模型[J].计算机与数字工程,2018,46(1):25-29,5.
