1 March 1992 Techniques for high-performance analog neural networks
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We consider analog neural network implementations (using VLSI or optical technologies) with limited accuracy and various noise and nonlinearity error sources. Algorithms and techniques to achieve high performance (good recognition P'c% and large storage capacity) on such systems are considered. The adaptive clustering neural net (ACNN) and robust Ho-Kashyap (HK-2) associative processor (AP) are the neural networks considered in detail.
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David P. Casasent, David P. Casasent, Leonard Neiberg, Leonard Neiberg, Sanjay S. Natarajan, Sanjay S. Natarajan, "Techniques for high-performance analog neural networks", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); doi: 10.1117/12.135106; https://doi.org/10.1117/12.135106

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