神经网络芯片

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1988-12-01 DOI:10.1109/IEMBS.1988.95346

L. Jackel, R. E. Howard, H. Graf, W. Hubbard, J. Denker, D. Henderson

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引用次数: 4

摘要

基于神经生物学的提示，探索替代计算机架构的早期结果表明，高度互联、简单、低精度的处理器网络可以为解决在标准计算机上很难或不可能解决的问题提供工具。作者描述了一个电子神经模型，并展示了这个模型如何很容易地用于模式识别任务。他们还描述了一个芯片，实现了这个模型，用于手写数字识别。

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Neural network chips

Early results from exploring alternative computer architectures based on hints from neurobiology suggest that networks of highly-interconnected, simple, low-precision processors can give tools for tackling problems that have been hard or impossible to do on standard computers. The authors describe an electronic neural model and show how this model is readily adapted for use in pattern-recognition tasks. They also describe a chip, implementing this model, that is used for handwritten digit recognition.<>

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Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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