数字神经网络实现

Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings] Pub Date : 1992-04-01 DOI:10.1109/PCCC.1992.200512

E. Swartzlander, R. Jones

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引用次数: 41

摘要

作者提供了数字神经网络实现方法的比较。当输入输出为单比特二进制信号时，大型数字神经网络是可行的。此应用程序的一个关键组件是并行计数器，它计算为one的输入的数量。据报道，在实现多达1022个输入的并行计数器方面取得了进展，因为需要实现每层多达1000个神经元的多层神经网络。

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Digital neural network implementation

The authors provide a comparison of implementation approaches for digital neural networks. Digital neural networks of large size are feasible if the inputs and outputs are single-bit binary signals. A key component for this application is the parallel counter, which counts the number of inputs that are ONEs. Progress is reported toward the implementation of parallel counters with up to 1022 inputs, as required to realize multilayer neural networks with up to 1000 neurons per layer.<>

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Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]

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