A Design of a Tax Prediction System based on Artificial Neural Network
Sung-Bong Jang · 2019
It's is not easy for people to predict a tax income accurately. In most cases, an expert manually predict tax revenues for next month based on a heuristic. Although this method is simple and easy to use, it does not take into account the economic situation, the real estate market, GDP, etc., and therefore, the prediction error is very large, so it is difficult to actually use it. To solve this problem, this paper presents an auxiliary tax prediction system that is based on an artificial neural networks. The system can help experts to predict tax revenues efficiently.