Forestry Economic Forecasting Methods, Models and Computer Support Systems

With the rapid development of computer technology, computer technology is widely used in all walks of life. The role of computer-supported systems in forestry economic development decision-making is important, but there may be lagging problems in practical applications. Traditional forecasting techniques cannot solve some problems in computer support systems in forestry economic development decision-making, and the evaluation is unreasonable. Therefore, this paper proposes a data mining algorithm for innovative optimization of computer-supported system analysis. Firstly, forestry economic theory is used to evaluate forestry managers, and indicators are divided according to the requirements of the computer support system to reduce them the computer supports the interference factor in the system. Then, the forestry economic theory analyzes the computer support system of forestry economic forecasting, forms a computer support system scheme, and supports the computer system Comprehensive analysis of the program. MATLAB simulation shows that under the condition of certain evaluation criteria, the accuracy of the computer support system of data mining algorithm for forestry economic forecasting is accurate the rationality is better than traditional forecasting techniques.