A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models

被引：225

作者：

Razi, MA ^{[1
]}

Athappilly, K ^{[1
]}

机构：

[1] Western Michigan Univ, Haworth Sch Business, Dept Business Informat Syst, Kalamazoo, MI 49008 USA

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2005年 / 29卷 / 01期

关键词：

neural networks regression; classification and regression tree;

D O I：

10.1016/j.eswa.2005.01.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Numerous articles comparing performances of statistical and Neural Networks (NNs) models are available in the literature, however, very few involved Classification and Regression Tree (CART) models in their comparative studies. We perform a three-way comparison of prediction accuracy involving nonlinear regression, NNs and CART models using a continuous dependent variable and a set of dichotomous and categorical predictor variables. A large dataset on smokers is used to run these models. Different prediction accuracy measuring procedures are used to compare performances of these models. The outcomes of predictions are discussed and the outcomes of this research are compared with the results of similar studies. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：65 / 74

页数：10

共 81 条

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