Tax Revenues Forecasting By Applying PSO Optimization Algoritm

Authors
Morteza Asadi 1
Hamid Khaloozadeh 2
1 Kharazmi University
2 Khaje Nasirooldin Tousi University
10.29252/jemr.8.30.147
Abstract


Forecasting tax revenues is vitally important issue for optimal allocation of taxable resources, planning and budgeting in national and regional levels and knowing the potential national participation in public expenditures. The classical optimization based on mathematical methods may not be reliable in real world and mostly inefficient and inapplicable in complicated world due to their restricted assumptions. The smart optimization may help us to find the solution. This essay based on modified PSO methodology .The initial trial based on the data during 1971- 2007 in case of various direct and indirect taxes , and using updated data during 2008- 2012 for final forecasting , to estimate tax revenues for upcoming next three years (2013 up to 2016) by MATLAB software.
Keywords
Tax
Forecast
Neural Net Modeling
Optimization
PSO and Modified PSO
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