Add to ORKGIn this paper, we discuss parallel implementation of an artificial neural network for pattern association, the Bidirectional Associative Memory(BAM). Transputer-based parallel architectures like hypercube, mesh and linear array are used to exploit the parallelism in BAM. A comparitive study of utilization and speedup for various architectures is made. Hypercube performs better in terms of utilization and speedup when compared to the other architectures
The associative memory (AM) chip is ASIC device specifically designed to perform ``pattern matching'...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Objective Neural networks are being used for solving problems in various diverse areas including edu...
In this paper we discuss a parallel implementation of an artificial neural network for pattern assoc...
Bidirectional associative memories (BAMs) are being used extensively for solving a variety of proble...
We present a parallel processing network, consisting of nine microcomputers, for neuron-network simu...
Associative memory is a data collectively stored in the form of a memory or weight matrix, which is ...
Brain-inspired, artificial neural network approach offers the ability to develop attractors for each...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
This paper details an extension to an architecture for robust bidirectional hetero-associative recal...
An associative memory with parallel architecture is presented. The neurons are modelled by perceptro...
Multi-dimensional classification tasks by neural methods are interesting for their performances and ...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
AbstractProtein Processor Associative Memory (PPAM) is a novel architecture for learning association...
Abstract—Associative memories store content in such a way that the content can be later retrieved by...
The associative memory (AM) chip is ASIC device specifically designed to perform ``pattern matching'...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Objective Neural networks are being used for solving problems in various diverse areas including edu...
In this paper we discuss a parallel implementation of an artificial neural network for pattern assoc...
Bidirectional associative memories (BAMs) are being used extensively for solving a variety of proble...
We present a parallel processing network, consisting of nine microcomputers, for neuron-network simu...
Associative memory is a data collectively stored in the form of a memory or weight matrix, which is ...
Brain-inspired, artificial neural network approach offers the ability to develop attractors for each...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
This paper details an extension to an architecture for robust bidirectional hetero-associative recal...
An associative memory with parallel architecture is presented. The neurons are modelled by perceptro...
Multi-dimensional classification tasks by neural methods are interesting for their performances and ...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
AbstractProtein Processor Associative Memory (PPAM) is a novel architecture for learning association...
Abstract—Associative memories store content in such a way that the content can be later retrieved by...
The associative memory (AM) chip is ASIC device specifically designed to perform ``pattern matching'...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Objective Neural networks are being used for solving problems in various diverse areas including edu...