1998
@article{ZPH1998,
vgclass = {refpap},
author = {Guoqiang Zhang and B. Eddy Patuwo and Michael Y. Hu},
title = {Forecasting with artificial neural networks: The state of
the art},
journal = {International Journal of Forecasting},
volume = {14},
number = {1},
pages = {35--62},
month = {March},
year = {1998},
url = {http://dx.doi.org/10.1016/S0169-2070(97)00044-7},
abstract = {Interest in using artificial neural networks (ANNs) for
forecasting has led to a tremendous surge in research activities in the
past decade. While ANNs provide a great deal of promise, they also
embody much uncertainty. Researchers to date are still not certain
about the effect of key factors on forecasting performance of ANNs.
This paper presents a state-of-the-art survey 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, and (3) the
future research directions.},
}