THE EFFECT OF SAMPLE-SIZE AND VARIABILITY OF DATA ON THE COMPARATIVE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS AND REGRESSION

Authors
MARKHAM IS RAKES TR
Citation
Is. Markham et Tr. Rakes, THE EFFECT OF SAMPLE-SIZE AND VARIABILITY OF DATA ON THE COMPARATIVE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS AND REGRESSION, Computers & operations research, 25(4), 1998, pp. 251-263
Citations number
9
Categorie Soggetti
Operatione Research & Management Science","Computer Science Interdisciplinary Applications","Operatione Research & Management Science","Computer Science Interdisciplinary Applications","Engineering, Industrial
Journal title
Computers & operations research → ACNP
ISSN journal
03050548
Volume
25
Issue
4
Year of publication
1998
Pages
251 - 263
Database
ISI
SICI code
0305-0548(1998)25:4<251:TEOSAV>2.0.ZU;2-A
Abstract
This research explores the robustness of simple linear regression and artificial neural networks with respect to varying sample size and var iance of the error term by comparing their predictive abilities. The c omparison is made using the root mean square difference between the pr edicted output from each technique and the actual output. (C) 1998 Els evier Science Ltd. All rights reserved.