liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Regularization as a Substitute for Pre-Processing of Data in Neural Network Training
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1991 (English)Report (Other academic)
Abstract [en]

The great importance of pre-processing of data before the training of a feed forward network is emphasised by many researchers. This pre-processing is not always straightforward, and, further, the need of pre-processing makes the model “less black”. We show that regularization, besides its other positive effects, reduces the need of pre-processing.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1991.
LiTH-ISY-I, ISSN 8765-4321 ; 1296
Keyword [en]
Neural nets, Regularization, Bad start values, Pre-processing
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-55482OAI: diva2:316122
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2013-07-29

Open Access in DiVA

No full text

By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 11 hits
ReferencesLink to record
Permanent link

Direct link