Artifical neural networks versus multiple regression in tourism demand analysis

A study explores and demonstrates the usefulness of artificial neural networks (ANN) as an alternative approach to the use of multiple regression (MR) in tourism demand studies. Canadian tourism expenditures in the US are used as a measure of demand to demonstrate its application. The results reveal that the use of ANNs in tourism demand studies may result in better estimates in terms of prediction bias and accuracy.