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Effectiveness of neural networks to regression with structural changes

โœ Scribed by Miyoko Asano; Hiroe Tsubaki; Tadashi Yoshizawa

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
112 KB
Volume
18
Category
Article
ISSN
1524-1904

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โœฆ Synopsis

Abstract

This paper reports simple numerical experiments of the application of multiโ€layered and feedโ€forward neural networks to regression with change points to clarify one of the effectiveness of the neural network model compared with nonโ€parametric regression methods based on scatter plot smoothing. We also show an illustrative example, which successfully draws too rapid growth of GDP in Japan at the bubble economy around 1990 by interpreting decomposition of regression function suggested by the optimal neural networks fitting. Copyright ยฉ 2002 John Wiley & Sons, Ltd.

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