A Comparison between Neural Networks and Traditional Forecasting Methods: A Case Study

A Comparison between Neural Networks and Traditional Forecasting Methods: A Case Study

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Forecasting accuracy drives the performance of inventory management. This study is to investigate and compare different forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive n...

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Bibliographic Details
Main Authors:	C. A. Mitrea, C. K. M. Lee, Z. Wu
Format:	Article
Language:	English
Published:	SAGE Publishing 2009-09-01
Series:	International Journal of Engineering Business Management
Online Access:	https://doi.org/10.5772/6777

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