Hybrid chip-set architecture for artificial neural network syste

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395 11, 395 21, G06F 1518

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057817022

ABSTRACT:
A self-contained chip set architecture for ANN systems, based on back-propagation model with full-connectivity topology, and on-chip learning and refreshing, based on analog chip set technology providing self-contained synapse and neuron modules with fault tolerant neural computing, capable of growing to any arbitrary size as a result of embedded electronic addressing. Direct analog and digital I/O ports allow real-time computation and interface communication with other systems including digital host of any bus bandwidth. Scalability is provided, allowing accommodation of all input/output data sizes and different host platform.

REFERENCES:
patent: 4710903 (1987-12-01), Hereth et al.
patent: 5298796 (1994-03-01), Tawel
patent: 5299286 (1994-03-01), Imondi et al.
patent: 5479579 (1995-12-01), Duong et al.
Wang et al. "A Modular Analog CMOS LSI for Feedforward Neural Networks with On-Chip BEP Learning," Circuits and Systems, 1993 IEEE Int. Symp., pp. 2744-2747, May 31, 1993.
Alhalabi et al. "A slice of a brain: A hybrid neural chip set," Circuits and Systems, 1994 Midwest Symposium, vol. 1, pp. 489-494, Dec. 20, 1994.
B.A. Alhalabi & M.A. Bayoumi. A hybrid chip set for neural networks. Proceedings of World Congress on Neural Networks, vol. II:pp. 624-630, San Diego, CA., Jun. 6,1994.
B.E. Boser & E. Sackinger. An analog neural network processor with programmable topology. IEEE journal of Solid-State Circuits, vol. 26(No. 12):pp.2017-2025, Dec. 1991.
M. Holler & S. Tam. An electrically trainable artificial neural network (etann) with 10240 "floating gate" synapses. International Joint Conference on Neural Networks, vol. II:pp. 191-196, Jun. 1989.
M. Nahebi & B. Wooley. A 10-bit video bicmos track-and-hold amplifier. IEEE Journal of Solid-State Circuits, vol.SC-24 (No.6):pp.1507-1516, Dec. 1989.
E. Sackinger & W. Guggenbuhl. An analog trimming circuit based on a floating-gate device. IEEE Journal of Solid-State Circuits, vol.SC-23(No.6):pp.1437-1440, Dec. 1988.
S. Satyanarayana & Y.P. Tsividis. A reconfigurable vlsi neural network. IEEE Journal of Solid-State Circuits, vol.27(No.12):pp. 1868-1876, Dec. 1992.
T.Shima & T. Kimura. Neuro chips with on-chip back-propagation and/or hebbian learning. IEEE Journal of Solid-State Circuits. vol.27(No.12):pp.1868-1876, Dec. 1992.
J.V. Spiegel & P. Mueller. An analog neural computer with modular architecture for real-time dynamic computations. IEEE Journal of Solid-State Circuits, vol.27(No.1):82-92, Jan. 1992.
E. Vittoz & e. a. H. Oguey. VLSI Design of Neural Networks, edited by U. Ramacher & U. Ruckert, chapter Analog Storage of Adjustable Synaptic Weights. Kluwer Academic Publishers, Boston, Massachusetts, 1991.
G. Wegmann, E. Vittoz & F. Rhali. Charge injection in analog mos switches. IEEE journal of solid-State Circuits, vol.SC-22 (No.6):pp.1091-1097, Dec. 1987.

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