Comparison of neural networks and regression analysis: A new insight

Authors:
Usha A. Kumar
Affiliations:
Shailesh J. Mehta Institute of Management, Indian Institute of Technology, Powai, Bombay, Mumbai 400 076, India
Venue:
Expert Systems with Applications: An International Journal
Year:
2005

Citing 3
Cited 12

An experimental evaluation of neural networks for classification

Computers and Operations Research
Managerial applications of neural networks: the case of bank failure predictions

Management Science
Predicting graduate student success: a comparison of neural networks and traditional techniques

Computers and Operations Research

Treatment of skewed multi-dimensional training data to facilitate the task of engineering neural models

Expert Systems with Applications: An International Journal
Case-based reasoning and neural networks for real state valuation

AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Comparison of the decision tree, artificial neural network, and linear regression methods based on the number and types of independent variables and sample size

Expert Systems with Applications: An International Journal
A comparison of neural network and multiple regression analysis in modeling capital structure

Expert Systems with Applications: An International Journal
Review: Neural networks and statistical techniques: A review of applications

Expert Systems with Applications: An International Journal
Evaluating the strength and deformability properties of Misis fault breccia using artificial neural networks

Expert Systems with Applications: An International Journal
Performance evaluation for classification methods: A comparative simulation study

Expert Systems with Applications: An International Journal
The usability of Cerchar abrasivity index for the prediction of UCS and E of Misis Fault Breccia: Regression and artificial neural networks analysis

Expert Systems with Applications: An International Journal
Aseismic ability estimation of school building using predictive data mining models

Expert Systems with Applications: An International Journal
A comparison of regression methods for remote tracking of Parkinson's disease progression

Expert Systems with Applications: An International Journal
Methodological triangulation using neural networks for business research

Advances in Artificial Neural Systems
MLR and ANN models of significant wave height on the west coast of India

Computers & Geosciences

Quantified Score

Hi-index	12.07

Visualization

Abstract

In recent years, neural networks are widely being used in areas where conventional statistical methods were used. This paper compares regression and neural networks on a real life data and two simulated examples. The results show that regression is much better than neural networks for skewed data. General guidelines are suggested to improve the performance of neural networks for skewed data.