Digital implementation of programmable neural networks in synchronous pulse mode

Taek M Kwon, Yiwen Wang

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, we propose a new digital implementation of neural networks which operates in synchronous pulse-mode and allows massively-parallel processing. The basic signaling scheme is devised based on the Manchester encoding of pulse-stream signals. This pulse mode coding allows signed addition with a single OR gate and signed multiplication with a single AND gate and a two-to-one multiplexer. Each neuronal element keeps a set of registers which hold the information of weights. The activation function is implemented as a look-up-table (LUT). This structure provides programmability in weights, the number of inputs, and activation function of a neuron.

Original languageEnglish (US)
Pages65-70
Number of pages6
StatePublished - 1993
EventProceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93 - St.Louis, MO, USA
Duration: Nov 14 1993Nov 17 1993

Other

OtherProceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93
CitySt.Louis, MO, USA
Period11/14/9311/17/93

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