Burattini Ernesto, De Francesco Antonio, De Gregorio Massimo
Dipartimento di Scienze Fisiche, Università di Napoli "Federico II", Napoli, Italy.
Int J Neural Syst. 2003 Apr;13(2):93-101. doi: 10.1142/S0129065703001480.
A Neuro-Symbolic Language for monotonic and non-monotonic parallel logical inference by means of artificial neural networks (ANNs) is presented. Both the language and its compiler have been designed and implemented in order to translate the neural representation of a given problem into a VHDL software, which in turn can set devices such as FPGA. The result of this operation leads to an electronic circuit that we call NSP (Neuro-Symbolic Processor).
本文提出了一种通过人工神经网络(ANN)进行单调和非单调并行逻辑推理的神经符号语言。设计并实现了该语言及其编译器,以便将给定问题的神经表示转换为VHDL软件,进而可以设置诸如FPGA之类的设备。此操作的结果产生了一个我们称为NSP(神经符号处理器)的电子电路。