Swinburne
Browse

Software engineering methods for neural networks

Download (318.55 kB)
conference contribution
posted on 2024-07-11, 19:20 authored by Anthony Senyard, Ed Kazmierczak, Leon SterlingLeon Sterling
Neural networks have been used to solve a wide range of problems. Unfortunately, many of the applications of neural networks reported in the literature have been built in an ad-hoc manner, without being informed by the techniques and tools of software engineering. The problem with developing neural networks in an ad-hoc manner, using a 'trial and error' or 'build and fix' approach, is that successes are difficult to repeat. Building neural networks to solve specific problems using ad-hoc processes is repeatable only if there is a sufficient culture of disciplined practice and experienced people in the organisation to facilitate the process. In this paper we propose a set of methods for developing neural networks that can be used to systematically and repeatably 'engineer' neural networks to solve specific problems. We explore the 'design problem' for neural networks, and the problem of validating and verifying the operation and learning algorithms for neural network software. A feature of our approach is to separate the generic components of a neural network from the application specific components.

History

Available versions

PDF (Published version)

ISBN

9780769520117

ISSN

1530-1362

Journal title

Proceedings of the Tenth Asia-Pacific Software Engineering Conference (APSEC 2003), Chiang Mai, Thailand, 10-12 December 2003

Conference name

The Tenth Asia-Pacific Software Engineering Conference APSEC 2003, Chiang Mai, Thailand, 10-12 December 2003

Pagination

9 pp

Publisher

IEEE

Copyright statement

Copyright © 2003 IEEE. The published version is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC