Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/85630 
Year of Publication: 
1997
Series/Report no.: 
Tinbergen Institute Discussion Paper No. 97-123/4
Publisher: 
Tinbergen Institute, Amsterdam and Rotterdam
Abstract: 
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.
Document Type: 
Working Paper

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