probabilistic logic neuron 概率逻辑神经元
The first step toward understanding neural nets is to abstract from the biological neuron, and to focus on its character as a threshold logic unit (TLU).
理解神经网络的第一步是从对抽象生物神经开始，并把重点放在 阈值逻辑单元（TLU）这一特征上。
After discussing the connection between digital logic and a neuron, a strategy of implementing arbitrary Boolean logic using three layers feedforward neural network is presented.
在讨论数字逻辑与神经元的关系后，提出一种利用前向三层神经网络实现任意布尔逻辑的设计方案。
Incorporating the fuzzy control and the neuron control, this paper has developed a new controller based on both fuzzy logic and neuron.
将模糊控制和神经控制相结合，设计出单神经元模糊自适应控制方案。
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