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。
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).
提出了利用模糊逻辑-神经网络分析高压电气设备绝缘参数变化趋势的方法。
The fuzzy logic-neural network is used to analyze the tendency of insulation parameter change of HV(High Voltage) electric equipment.
这样设置便可以创建不包含隐藏层的神经网络模型，从而使该神经网络模型与逻辑回归等效。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
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