Review: Neural networks and statistical techniques: A review of applications

Authors:
Mukta Paliwal;Usha A. Kumar
Affiliations:
Shailesh J. Mehta School of Management, Indian Institute of Technology, Powai, Mumbai 400 076, India;Shailesh J. Mehta School of Management, Indian Institute of Technology, Powai, Mumbai 400 076, India
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 24
Cited 47

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Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals

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Abstract

Neural networks are being used in areas of prediction and classification, the areas where statistical methods have traditionally been used. Both the traditional statistical methods and neural networks are looked upon as competing model-building techniques in literature. This paper carries out a comprehensive review of articles that involve a comparative study of feed forward neural networks and statistical techniques used for prediction and classification problems in various areas of applications. Tabular presentations highlighting the important features of these articles are also provided. This study aims to give useful insight into the capabilities of neural networks and statistical methods used in different kinds of applications.