Proceedings Paper
Applications Of Neural Networks To The Manufacturing Environment| Format | Member Price | Non-Member Price |
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Paper Abstract
Neural networks, and optical neural networks in particular, hold great promise in the industrial environment. We examine three generic applications here. These are process control, work flow control, and inspection. In all of these cases, optical neural networks have the potential of performing tasks now performed quite imperfectly by humans and performing those tasks far more effectively.
Paper Details
Date Published: 16 January 1989
PDF: 4 pages
Proc. SPIE 0954, Optical Testing and Metrology II, (16 January 1989); doi: 10.1117/12.947623
Published in SPIE Proceedings Vol. 0954:
Optical Testing and Metrology II
Chander Prakash Grover, Editor(s)
PDF: 4 pages
Proc. SPIE 0954, Optical Testing and Metrology II, (16 January 1989); doi: 10.1117/12.947623
Show Author Affiliations
H. J. Caulfield, University of Alabama in Huntsville (United States)
Published in SPIE Proceedings Vol. 0954:
Optical Testing and Metrology II
Chander Prakash Grover, Editor(s)
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