Applications Of Neural Networks To The Manufacturing Environment

H. J. Caulfield

doi:10.1117/12.947623

16 January 1989 Applications Of Neural Networks To The Manufacturing Environment

H. J. Caulfield

Proceedings Volume 0954, Optical Testing and Metrology II; (1989) https://doi.org/10.1117/12.947623
Event: SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, 1988, Dearborn, MI, United States

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.

Citation Download Citation

H. J. Caulfield "Applications Of Neural Networks To The Manufacturing Environment", Proc. SPIE 0954, Optical Testing and Metrology II, (16 January 1989); https://doi.org/10.1117/12.947623

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