The Transactions of the Korean Institute of Electrical Engineers (대한전기학회논문지)
- Volume 45 Issue 3
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- Pages.444-450
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- 1996
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- 0254-4172(pISSN)
A hardware implementation of neural network with modified HANNIBAL architecture
수정된 하니발 구조를 이용한 신경회로망의 하드웨어 구현
Abstract
A digital hardware architecture for artificial neural network with learning capability is described in this paper. It is a modified hardware architecture known as HANNIBAL(Hardware Architecture for Neural Networks Implementing Back propagation Algorithm Learning). For implementing an efficient neural network hardware, we analyzed various type of multiplier which is major function block of neuro-processor cell. With this result, we design a efficient digital neural network hardware using serial/parallel multiplier, and test the operation. We also analyze the hardware efficiency with logic level simulation. (author). refs., figs., tabs.
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