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。
To solve this problem, using double threshold value takes the place of character threshold value in the former algorithm.
针对这一问题，在上述算法中用双阈值法代替固定阈值，在文字图像轮廓提取中取得了较好的效果。
According to different optics-dispersion character, threshold segmentation method is proposed to identify gas from the gas-water flow, which make steadfast base for further calculate void fraction.
根据气泡和水对光的反射特性不同，提出采用阈值法识别图像中的气泡和水，从而为进一步计算掺气浓度打下坚实的基础。
At the same time, the value of the compensating capacitance, the switching threshold and the character curve of the motor are calculated.
同时计算了补偿电容值、切换阈值以及电动机的特性曲线。
Foreground area is extracted by adaptive threshold method, the object is searched by extending the connected components extraction method, the object is recognized based on the geometrical character.
以自适应门限值提取前景区域，通过扩展的连通分量提取算法实现了目标的快速搜索，最后几何特征对目标加以识别。
Threshold - A character must have the trait at this intensity (see Trigger Data below) in order to gain the trait at this level.
必须处于这样的“烈度”以获得这个等级的属性。
Threshold - A character must have the trait at this intensity (see Trigger Data below) in order to gain the trait at this level.
必须处于这样的“烈度”以获得这个等级的属性。
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