Integration of knowledge-based system, artificial neural networks and multimedia for gear design

Su, D ORCID: https://orcid.org/0000-0002-9541-8869, Wakelam, M and Jambunathan, K, 2000. Integration of knowledge-based system, artificial neural networks and multimedia for gear design. Journal of Material Processing Technology, 107 (13), pp. 53-59.

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Abstract

Design is a complicated area consisting of a combination of rules, technical information and personal judgement. The quality of design depends highly on the designer's knowledge and experience. This system attempts to simulate the design process and to capture design expertise by combining artificial neural networks (ANNs) and knowledge based system (KBS) together with multi-media (MM). It has been applied to the design of gears. Within the system the knowledge based system handles clearly defined design knowledge, the artificial neural networks capture knowledge which is difficult to quantify and multi-media provides a user-friendly interface prompting the user to input information and to retrieve results during design process. The finished system illustrates how features of different Artificial Intelligence techniques, KBS, ANNs and MM, are combined in a hybrid manner to conduct complicated design tasks.

Item Type:	Journal article
Publication Title:	Journal of Material Processing Technology
Creators:	Su, D., Wakelam, M. and Jambunathan, K.
Publisher:	Elsevier (not including Cell Press)
Date:	2000
Volume:	107
Number:	13
Identifiers:	Number Type 10.1016/S0924-0136(00)00716-0 DOI
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:48
Last Modified:	09 Jun 2017 13:40
URI:	https://irep.ntu.ac.uk/id/eprint/18509

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