神经符号处理:非单调算子及其FPGA实现

Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks Pub Date : 2000-01-22 DOI:10.1109/SBRN.2000.889705

E. Burattini, M. D. Gregorio, G. Tamburrini

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引用次数: 9

摘要

回顾McCulloch和Pitts(1945)、von Neumann(1956)和Minsky(1956)的见解，我们介绍了一些由神经符号处理器(NSP)的新型电子器件(FPGA)实现的非单调算子。还介绍了一些具有逻辑和算术功能的网络。

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Neurosymbolic processing: non-monotonic operators and their FPGA implementation

Recalling the insights of McCulloch and Pitts (1945), von Neumann (1956) and Minsky (1956) we introduce some non-monotonic operators implemented by means of new electronic devices (FPGA) for a neurosymbolic processor (NSP). Some nets performing logical and arithmetic functions are also presented.

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Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks

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