Issue No. 03 - June (1994 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/40.285223
<p>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-/spl mu/m 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.</p>
K. Hoen, H. Wallinga and P. Masa, "A High-Speed Analog Neural Processor," in IEEE Micro, vol. 14, no. , pp. 40-50, 1994.