A high-speed analog neural processor


Masa, Peter and Hoen, Klaas and Wallinga, Hans (1994) A high-speed analog neural processor. IEEE micro, 14 (3). pp. 40-50. ISSN 0272-1732

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Abstract:Targeted at high-energy physics research applications, our special-purpose analog neural processor can classify up to 70 dimensional vectors within 50 nanoseconds. The decision-making process of the implemented feedforward neural network enables this type of computation to tolerate weight discretization, synapse nonlinearity, noise, and other non-ideal effects. Although our prototype does not take advantage of advanced CMOS technology, and was fabricated using a 2.5-μm CMOS process, it performs 6 billion multiplications per second, with only 2 W dissipation, and has as high as 1.5 Gbyte/s equivalent bandwidth.
Item Type:Article
Copyright:© 1994 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/15181
Official URL:https://doi.org/10.1109/40.285223
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