MODELING AND FORECASTING OF REVENUE OF TAXES IN FIFTH DEVELOPMENT PLAN OF IRAN BASED ON A SPECIAL STRUCTURE OF NONLINEAR NEURAL NETWORKS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHALOOZADEH HAMID; HAMIDI ALAMDARI SAEEDEH; ASADOLAHZADEH BALI MIRROSTAM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Economic Research Year:2011 | Volume:46 | Issue:96 Page(s): 45-63

Download Full-Text

Persian Verion

View:

971

Download:

Cites:

Information Journal Paper

Title

MODELING AND FORECASTING OF REVENUE OF TAXES IN FIFTH DEVELOPMENT PLAN OF IRAN BASED ON A SPECIAL STRUCTURE OF NONLINEAR NEURAL NETWORKS

Author(s)

KHALOOZADEH HAMID | HAMIDI ALAMDARI SAEEDEH | ASADOLAHZADEH BALI MIRROSTAM | Issue Writer Certificate

Keywords

CORRELATION DIMENSIONQ2

CHAOSQ2

TAXQ2

FORECASTINGQ2

MULTI- INPUT MULTI- OUTPUT ARTIFICIAL NEURAL NETWORKQ2

Abstract

In this paper modeling and FORECASTING of revenue of TAXes in fifth development plan is investigated based on a special structure of nonlinear neural networks. The time series of TAXes which are studied in this research are related to total TAX, direct TAX, indirect TAX, companies’ TAX, income TAX, wealth TAX, and import TAX.Based on the CORRELATION DIMENSION estimation technique, the structure of each time series with respect to linearity, nonlinearity and stochastic process are studied. The results indicate that there is chaotic behavior in TAX time series generators and declare possibility of applying nonlinear modeling for mid-run forecast.Then, the results of modeling and FORECASTING of time series of the TAXes during 1959- 2009 using a novel MULTI- INPUT MULTI- OUTPUT ARTIFICIAL NEURAL NETWORKs are presented. An upper and a lower band of prediction are also derived for each time series of TAXes. The results for next 6 years prediction are very good in training stage and it is supposed to have good results in real next 6 years.

Cites

No record.

References

Cite

APA: Copy

KHALOOZADEH, HAMID, HAMIDI ALAMDARI, SAEEDEH, & ASADOLAHZADEH BALI, MIRROSTAM. (2011). MODELING AND FORECASTING OF REVENUE OF TAXES IN FIFTH DEVELOPMENT PLAN OF IRAN BASED ON A SPECIAL STRUCTURE OF NONLINEAR NEURAL NETWORKS. TAHGHIGHAT-E-EGHTESADI, 46(96), 45-63. SID. https://sid.ir/paper/11595/en

Vancouver: Copy

KHALOOZADEH HAMID, HAMIDI ALAMDARI SAEEDEH, ASADOLAHZADEH BALI MIRROSTAM. MODELING AND FORECASTING OF REVENUE OF TAXES IN FIFTH DEVELOPMENT PLAN OF IRAN BASED ON A SPECIAL STRUCTURE OF NONLINEAR NEURAL NETWORKS. TAHGHIGHAT-E-EGHTESADI[Internet]. 2011;46(96):45-63. Available from: https://sid.ir/paper/11595/en

IEEE: Copy

HAMID KHALOOZADEH, SAEEDEH HAMIDI ALAMDARI, and MIRROSTAM ASADOLAHZADEH BALI, “MODELING AND FORECASTING OF REVENUE OF TAXES IN FIFTH DEVELOPMENT PLAN OF IRAN BASED ON A SPECIAL STRUCTURE OF NONLINEAR NEURAL NETWORKS,” TAHGHIGHAT-E-EGHTESADI, vol. 46, no. 96, pp. 45–63, 2011, [Online]. Available: https://sid.ir/paper/11595/en

Related Journal Papers