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IWANN
1993
Springer

Hardware Implementations of Artificial Neural Networks

11 years 9 months ago
Hardware Implementations of Artificial Neural Networks
Over the past decade a large variety of hardware has been designed to exploit the inherent parallelism of the artificial neural network models. This paper presents an overview of neural network hardware. Neural network basics, hardware specification and performance evaluation are introduced. Major categories of neural network architectures are reviewed. Two examples of neurohardware, CNAPS and SYNAPSE-1, and some real-world applications of neural network hardware, are described in detail. The challenges and future of hardware implementation of neural networks are also discussed.
Dante Del Corso
Added 10 Aug 2010
Updated 10 Aug 2010
Type Conference
Year 1993
Where IWANN
Authors Dante Del Corso
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