An Associative Memory with Neural Architecture and its VLSI Implementation

Rückert U (1991)
In: Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences. Milutinovic V, Shriver BD (Eds); , 1. Los Alamitos: IEEE Computer Society Press: 212-218.

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Konferenzbeitrag | Veröffentlicht | Englisch
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Abstract / Bemerkung
Two VLSI special-purpose hardware implementations of an associative memory model are described: a pure digital and a mixed analog/digital architecture. Both architectures can be easily extended to large scale memories with several million storage elements. The advantages and disadvantages of both architectures are pointed out. The memory concept is based on a simple matrix structure with n×m binary elements, the connections, and on distributed storage of information like artificial neural networks. There is no asynchronous feedback and the inputs and outputs are binary, too. Though the system concept is very simple, it has an asymptotic storage capacity of 0.69.m.n bits and the number of patterns that can be stored with low error probability is much larger than the number of columns (artificial neurons). The important aspect for applications is that the input and output patterns have to be sparsely coded
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences
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1
Seite
212-218
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Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinovic V, Shriver BD, eds. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences. Vol 1. Los Alamitos: IEEE Computer Society Press; 1991: 212-218.
Rückert, U. (1991). An Associative Memory with Neural Architecture and its VLSI Implementation. In V. Milutinovic & B. D. Shriver (Eds.), Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences (Vol. 1, pp. 212-218). Los Alamitos: IEEE Computer Society Press. doi:10.1109/HICSS.1991.183888
Rückert, U. (1991). “An Associative Memory with Neural Architecture and its VLSI Implementation” in Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences, Milutinovic, V., and Shriver, B. D. eds., vol. 1, (Los Alamitos: IEEE Computer Society Press), 212-218.
Rückert, U., 1991. An Associative Memory with Neural Architecture and its VLSI Implementation. In V. Milutinovic & B. D. Shriver, eds. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences. no.1 Los Alamitos: IEEE Computer Society Press, pp. 212-218.
U. Rückert, “An Associative Memory with Neural Architecture and its VLSI Implementation”, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences, V. Milutinovic and B.D. Shriver, eds., vol. 1, Los Alamitos: IEEE Computer Society Press, 1991, pp.212-218.
Rückert, U.: An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinovic, V. and Shriver, B.D. (eds.) Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences. 1, p. 212-218. IEEE Computer Society Press, Los Alamitos (1991).
Rückert, Ulrich. “An Associative Memory with Neural Architecture and its VLSI Implementation”. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences. Ed. V. Milutinovic and B.D. Shriver. Los Alamitos: IEEE Computer Society Press, 1991.Vol. 1. 212-218.

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