Forecasting with Neural Networks: A comparative study using the data of emergency service
Applications
2010-10-19 v1 Methodology
Abstract
This is a case study discussing the supervised artificial neural network for the purpose of forecasting with comparison of the Box-Jenkins methodology by using the data of well known emergency service Rescue 1122. We fits a variety of neural network (NN) models and many problems were revealed while fitting the ANNs model to achieve the local minima. Moreover ANNs model is giving much better out of sample forecasts as compare to the ARIMA model. However we use diagnostic checks for the comparison of models.
Keywords
Cite
@article{arxiv.1010.3501,
title = {Forecasting with Neural Networks: A comparative study using the data of emergency service},
author = {Muhammad Noor-Ul-Amin},
journal= {arXiv preprint arXiv:1010.3501},
year = {2010}
}