| 逻辑电路的神经网络 |
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| 引用本文： | 刘永才.逻辑电路的神经网络[J].上海大学学报(自然科学版),1997,3(1):82-87. |
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| 作者姓名： | 刘永才 |
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| 作者单位： | 上海大学计算机工程与科学学院计算机科学系 |
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| 摘 要： | Ｍ．Ｌ．Ｂｕｓｈｎｅｌｌ教授和作者给出了ＮＯＴ，ＡＮＤ，ＯＲ，ＮＡＮＤ，ＮＯＲ，ＸＯＲ和ＸＮＯＲ门的神经网络。以这些门的神经网络为基础，可构成任何逻辑电路的神经网络。由此，将电路的相容信号转换为平方伪布尔函数的全局极小。从而，拓宽了神经网络在电路模拟和自动故障模型生成中的应用。
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| 关 键 词： | 神经网络 Hopfield网 平方伪布尔函数 逻辑电路 |
Neural Networks for Logic Circuits |
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| Liu Yongcai.Neural Networks for Logic Circuits[J].Journal of Shanghai University(Natural Science),1997,3(1):82-87. |
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| Authors: | Liu Yongcai |
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| Abstract: | Porf. M.L.Bushnell and the authors presented the neural networks for NOT,AND,OR,NAND,NOR,XOR and XNOR gates. Using these neural networks, we can construct the neural networks of any logic circuits. From this, the consistent signals in the logic circuits will be transformed into the global minimal points of quadratic pseudo Boolean functions. Thus the neural network application in the field of circuit modeling and automatic test pattern generation can be widened. |
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| Keywords: | neural network Hopfield network quadratic pseudo Boolean function |
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