28 August 1995 Determination of orientation of parts for machining using neural networks
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Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995); doi: 10.1117/12.217536
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cong Huynh, Richard Dluzniak, "Determination of orientation of parts for machining using neural networks", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217536; https://doi.org/10.1117/12.217536
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KEYWORDS
Neural networks

Neurons

Machine learning

Mathematical modeling

Pattern recognition

Artificial neural networks

Data modeling

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