A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. Analog circuit techniques are used to construct a network that evolves towards fully restored (digital) fixed-points that are the memories of the system. Association occurs on the whole source word, each bit of which may assume a continuous analog value. The network does not require the distinction of a search key from a data field in either the source or target words. A key may be dynamically defined by differentially weighting any subset of the source word. The key need not be exact; the system will evolve to the closest memory. In the case when the key is the whole input word, the system may be thought of as performing error correction
Rückert U. VLSI Design of an Associative Memory based on Distributed Storage of Information. In: Ram...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...
Pattern recognition and learning are basic functions, which are needed to build artificial systems w...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
Rückert U. VLSI Implementation of an Associative Memory Based on Distributed Storage of Information....
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Rückert U, Goser K. Adaptive Associative Systems For VLSI. In: Becker JD, Eisele I, eds. WOPPLOT 86 ...
Heittmann A, Rückert U. Mixed Mode VLSI Implementation of a Neural Associative Memory. Analog Integr...
Computer architecture faces an enormous challenge in recent years: while the demand for performance ...
Goser K, Fölster C, Rückert U. Intelligent Memories in VLSI. Information Sciences. 1984;34(1):61-82....
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
International audienceWe consider associative memories based on clustered graphs that were recently ...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
We consider associative memories based on clustered graphs that were recently introduced. These memo...
Rückert U, Kleerbaum C, Goser K. Digital VLSI Implementation of an Associative Memory Based on Neura...
Rückert U. VLSI Design of an Associative Memory based on Distributed Storage of Information. In: Ram...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...
Pattern recognition and learning are basic functions, which are needed to build artificial systems w...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
Rückert U. VLSI Implementation of an Associative Memory Based on Distributed Storage of Information....
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Rückert U, Goser K. Adaptive Associative Systems For VLSI. In: Becker JD, Eisele I, eds. WOPPLOT 86 ...
Heittmann A, Rückert U. Mixed Mode VLSI Implementation of a Neural Associative Memory. Analog Integr...
Computer architecture faces an enormous challenge in recent years: while the demand for performance ...
Goser K, Fölster C, Rückert U. Intelligent Memories in VLSI. Information Sciences. 1984;34(1):61-82....
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
International audienceWe consider associative memories based on clustered graphs that were recently ...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
We consider associative memories based on clustered graphs that were recently introduced. These memo...
Rückert U, Kleerbaum C, Goser K. Digital VLSI Implementation of an Associative Memory Based on Neura...
Rückert U. VLSI Design of an Associative Memory based on Distributed Storage of Information. In: Ram...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...
Pattern recognition and learning are basic functions, which are needed to build artificial systems w...