Practical assessment of neural network applications

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Abstract

This paper reports the initial results of a joint research project carried out by Aston University and Lloyd's Register to develop a practical method of assessing neural network applications. A set of assessment guidelines for neural network applications were developed and tested on two applications. These case studies showed that it is practical to assess neural networks in a statistical pattern recognition framework. However there is need for more standardisation in neural network technology and a wider takeup of good development practice amongst the neural network community.

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  • NCRG_97_009.pdf

    Rights statement: Copyright of Springer 16th International Conference on Computer Safety, Reliability, and Security, York, UK, September 7-10, 1997

    231 KB, PDF-document

Details

Publication date1997
Publication titleSafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security
EditorsPeter Daniel
Place of PublicationLondon
PublisherSpringer
Pages357-368
Number of pages12
ISBN (Print)9783540761914
Original languageEnglish
EventSafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368. -

Conference

ConferenceSafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368.
Period1/01/971/01/97

Bibliographic note

Copyright of Springer 16th International Conference on Computer Safety, Reliability, and Security, York, UK, September 7-10, 1997

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  • NCRG

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