In this paper we describe the VLSI design and testing of a high capacity associative memory which we call the exponential cor-relation associative memory (ECAM). The prototype 3J.'-CMOS programmable chip is capable of storing 32 memory patterns of 24 bits each. The high capacity of the ECAM is partly due to the use of special exponentiation neurons, which are implemented via sub-threshold MOS transistors in this design. The prototype chip is capable of performing one associative recall in 3 J.'S.
Re-awaking in the 1980s from a rather chequered history Artificial Neural Networks (ANNs) have susta...
This paper addresses the definition of the requirements for the design of a neural network associati...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
In this paper we describe the VLSI design and testing of a high capacity associative memory which w...
A model for a class of high-capacity associative memories is presented. Since they are based on two-...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Rückert U. VLSI Implementation of an Associative Memory Based on Distributed Storage of Information....
A generalized associative memory model with potentially high capacity is presented. A memory of this...
Rückert U, Kleerbaum C, Goser K. Digital VLSI Implementation of an Associative Memory Based on Neura...
Abstrud-Hopfield’s neural networks show retrieval and speed capabili-ties that make them good candid...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Rückert U. VLSI Design of an Associative Memory based on Distributed Storage of Information. In: Ram...
Pattern recognition and learning are basic functions, which are needed to build artificial systems w...
Neural networks used as content-addressable memories show unequaled retrieval and speed capabilities...
Heittmann A, Rückert U. Mixed Mode VLSI Implementation of a Neural Associative Memory. Analog Integr...
Re-awaking in the 1980s from a rather chequered history Artificial Neural Networks (ANNs) have susta...
This paper addresses the definition of the requirements for the design of a neural network associati...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
In this paper we describe the VLSI design and testing of a high capacity associative memory which w...
A model for a class of high-capacity associative memories is presented. Since they are based on two-...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Rückert U. VLSI Implementation of an Associative Memory Based on Distributed Storage of Information....
A generalized associative memory model with potentially high capacity is presented. A memory of this...
Rückert U, Kleerbaum C, Goser K. Digital VLSI Implementation of an Associative Memory Based on Neura...
Abstrud-Hopfield’s neural networks show retrieval and speed capabili-ties that make them good candid...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Rückert U. VLSI Design of an Associative Memory based on Distributed Storage of Information. In: Ram...
Pattern recognition and learning are basic functions, which are needed to build artificial systems w...
Neural networks used as content-addressable memories show unequaled retrieval and speed capabilities...
Heittmann A, Rückert U. Mixed Mode VLSI Implementation of a Neural Associative Memory. Analog Integr...
Re-awaking in the 1980s from a rather chequered history Artificial Neural Networks (ANNs) have susta...
This paper addresses the definition of the requirements for the design of a neural network associati...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...