A Simple Strategy to prune Neural Networks with an Application to Economic Time Series

A major problem in applying neural networks is specifying the sizeof the network. Even for moderately sized networks the number ofparameters may become large compared to the number of data. In thispaper network performance is examined while reducing the size of thenetwork through the use of multiple correlation coefficients andgraphical analysis of network output per hidden layer cell andinput layer cell.

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Year of publication:	1997
Authors:	Kaashoek, Johan F. ; van Dijk, Herman K.
Publisher:	Amsterdam and Rotterdam : Tinbergen Institute
Subject:	Neuronale Netze \| Zeitreihenanalyse \| Theorie

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Series:	Tinbergen Institute Discussion Paper ; 97-123/4
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	789556111 [GVK] hdl:10419/85630 [Handle] RePEc:dgr:uvatin:19970123 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010324603