Article ID Journal Published Year Pages File Type
387431 Expert Systems with Applications 2009 16 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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