Production Volume Forecating of each Manufactured Goods by Neural Networks

신경회로망에 의한 제품별 생산량 예측에 관한 연구

This paper presents a forecasting method for production volume of each model manufactured goods by using Back-Propagation technique of Neural Networks. As the learning constant and the momentum constant are respectively 0.65 and 0.94, the learning number is the least, and the forecating accuracy is the highest. When the learning process is more than 1,000 times, the accurate forecating was possible regardless of kind of product.