Prototype neural network pattern recognition testbed

Steven W. Worrell; James A. Robertson; Thomas L. Varner; Charles G. Garvin

doi:10.1117/12.25214

1 February 1991 Prototype neural network pattern recognition testbed

Steven W. Worrell, James A. Robertson, Thomas L. Varner, Charles G. Garvin

Proceedings Volume 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods; (1991) https://doi.org/10.1117/12.25214
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Recent successes ofneural networks has led to an optimistic outlook for neural network applications to image processing(IP). This paperpresents a general architecture for performing comparative studies of neural processing and more conventional IF techniques as well as hybrid pattern recognition (PR) systems. Two hybrid PR systems have been simulated each of which incorporate both conventional and neural processing techniques.

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Steven W. Worrell, James A. Robertson, Thomas L. Varner, and Charles G. Garvin "Prototype neural network pattern recognition testbed", Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); https://doi.org/10.1117/12.25214

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