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Proceedings Paper

Determination of orientation of parts for machining using neural networks
Author(s): Cong Huynh; Richard Dluzniak
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Paper Abstract

This paper describes the application of neural networks to the determination of orientation of parts for CNC machining. The paper introduces the theoretical basis of neural computing and emphasizes the back propagation paradigm. A geometry for training the network to recognize the orientation of an object is described together with the required input training data set. Some initial results are presented showing how the network was capable of recognizing the orientation of a part.

Paper Details

Date Published: 28 August 1995
PDF: 8 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217536
Show Author Affiliations
Cong Huynh, Swinburne Univ. of Technology (Australia)
Richard Dluzniak, Swinburne Univ. of Technology (Australia)


Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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