Comparative Analysis of Machine Learning Techniques in Sale Forecasting
نویسندگان
چکیده
Forecasting is a systematic attempt to examine the future by inference from known facts. Sales forecasting is an ballpark figure of sales during a specified future period. Formerly, it was a manual process using the mathematical formulas. Due to the advent of computer the process of sale forecasting is fast and accurate. Machine learning, a subfield of Artificial Intelligence, has many algorithms that are used for forecasting. The aim of this research paper is to present a comparative analysis between the traditional methods of forecasting and machine learning techniques. A new technique known as combine approach which constructs from both moving average and ANN and interesting results so obtained are presented here. Experimental setup uses MATLAB. General Terms Machine Learning Techniques, Sale Forecasting. MAE(Mean Absolute Error), MAPE(Mean Absolute Percentage Error), (MSE) Mean Square Error, RMSE(Root Mean Square Error).
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