论文信息 - CNN technology in action

CNN technology in action

Two Cellular Neural Net Universal Machine (CNN-UM) prototypes are demonstrated in action. The first one is the latest 4096 cell-processor, analog I/O, analogic CNN visual microprocessor, on which online video image processing will be performed. The second one, the 20/spl times/22 binary input-binary output CNN-UM chip is introduced as an ultra high-speed focal plane array processor. In the live demonstration it captures and classifies 10000 frames in a second.

[1] Akos Zar. The Computational Infrastructure of Analogic CNN Computing—Part I: The CNN-UM Chip Prototyping System , 1999 .

[2] S. Zöld,et al. The computational infrastructure of analogic CNN computing. I. The CNN-UM chip prototyping system , 1999 .

[3] Lin-Bao Yang,et al. Cellular neural networks: theory , 1988 .

[4] Tamás Roska,et al. The CNN universal machine: an analogic array computer , 1993 .

[5] Ángel Rodríguez-Vázquez,et al. A 0.8-μm CMOS two-dimensional programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage , 1997, IEEE J. Solid State Circuits.