Practical assessment of neural network applications

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

Practical assessment of neural network applications

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

Computer Science Research Group

Research output: Chapter in Book/Published conference output › Chapter

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 language	English
Title of host publication	SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security
Editors	Peter Daniel
Place of Publication	London
Publisher	Springer
Pages	357-368
Number of pages	12
ISBN (Print)	9783540761914
Publication status	Published - 1997
Event	SafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368. - Duration: 1 Jan 1997 → 1 Jan 1997

Conference

Conference	SafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368.
Period	1/01/97 → 1/01/97

Bibliographical note

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

Keywords

NCRG

Access to Document

NCRG_97_009.pdf
Copyright of Springer 16th International Conference on Computer Safety, Reliability, and Security, York, UK, September 7-10, 1997

Cite this

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title = "Practical assessment of neural network applications",

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.",

keywords = "NCRG",

author = "Nabney, {Ian T.} and Paven, {Mickael J S} and Eldridge, {Richard C} and Clive Lee",

note = "Copyright of Springer 16th International Conference on Computer Safety, Reliability, and Security, York, UK, September 7-10, 1997; SafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368. ; Conference date: 01-01-1997 Through 01-01-1997",

year = "1997",

language = "English",

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booktitle = "SafeComp 97: Proceedings of the 16th International Conference on Computing Safety, Reliability and Security",

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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.

TY - CHAP

T1 - Practical assessment of neural network applications

AU - Nabney, Ian T.

AU - Paven, Mickael J S

AU - Eldridge, Richard C

AU - Lee, Clive

N1 - Copyright of Springer 16th International Conference on Computer Safety, Reliability, and Security, York, UK, September 7-10, 1997

PY - 1997

Y1 - 1997

N2 - 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.

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

M3 - Chapter

SN - 9783540761914

SP - 357

EP - 368

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

A2 - Daniel, Peter

PB - Springer

CY - London

T2 - SafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368.

Y2 - 1 January 1997 through 1 January 1997

ER -

Practical assessment of neural network applications

Abstract

Conference

Bibliographical note

Keywords

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Cite this