Practical assessment of neural network applications


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.

Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: Copyright of Springer 16th International Conference on Computer Safety, Reliability, and Security, York, UK, September 7-10, 1997
Event Title: SafeComp 97, Proceedings of the 16th International Conference on Computer Safety, Reliability and Security, ed. P. Daniel, pp. 357-368.
Event Type: Other
Event Dates: 1997-01-01 - 1997-01-01
Uncontrolled Keywords: NCRG
ISBN: 9783540761914
Last Modified: 27 Jun 2024 12:04
Date Deposited: 08 Oct 2009 11:55
PURE Output Type: Chapter
Published Date: 1997
Authors: Nabney, Ian T. (ORCID Profile 0000-0003-1513-993X)
Paven, Mickael J S
Eldridge, Richard C
Lee, Clive


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