Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous surge in research activities inthe past decade. While ANNs provide a great deal of promise, they also embody much uncertainty. Researchers to date arestill not certain about the effect of key factors on forecasting performance of ANNs. This paper presents a state-of-the-artsurvey of ANN applications in forecasting. Our purpose is to provide
(1) a synthesis of published research in this area,
(2)insights on ANN modeling issues,
(3) the future research directions.