Practical assessment of neural network applications

Ian T. Nabney, Mickael J S Paven, Richard C Eldridge, Clive Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationSafeComp 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
Publication statusPublished - 1997
EventSafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368. -
Duration: 1 Jan 19971 Jan 1997

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

Fingerprint

Neural networks
Standardization
Pattern recognition

Bibliographical note

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

Keywords

  • NCRG

Cite this

Nabney, I. T., Paven, M. J. S., Eldridge, R. C., & Lee, C. (1997). Practical assessment of neural network applications. In P. Daniel (Ed.), SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security (pp. 357-368). London: Springer.
Nabney, Ian T. ; Paven, Mickael J S ; Eldridge, Richard C ; Lee, Clive. / Practical assessment of neural network applications. SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security. editor / Peter Daniel. London : Springer, 1997. pp. 357-368
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Nabney, IT, Paven, MJS, Eldridge, RC & Lee, C 1997, Practical assessment of neural network applications. in P Daniel (ed.), SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security. Springer, London, pp. 357-368, SafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368., 1/01/97.

Practical assessment of neural network applications. / Nabney, Ian T.; Paven, Mickael J S; Eldridge, Richard C; Lee, Clive.

SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security. ed. / Peter Daniel. London : Springer, 1997. p. 357-368.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - 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.

KW - NCRG

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BT - SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security

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CY - London

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Nabney IT, Paven MJS, Eldridge RC, Lee C. Practical assessment of neural network applications. In Daniel P, editor, SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security. London: Springer. 1997. p. 357-368