自联想神经网络采用一种带有瓶颈层的特殊结构，且具有单位总增益。
The AANN adopted a special structure with a bottle-neck layer and had a unit overall gain.
这就要求电压的总增益达到109，因此就需要很多放大器级联起来。
This requires an overall voltage gain of 109, so a number of voltage gain stages will be required.
负反馈的最重要作用在于使放大器总增益不至于因基本放大器增益的改变而变化，其总增益的大小完全取决于反馈网络的元件参数。
The most important effect of this is to make the overall amplifier gain almost immune to changes in the amplifier unit gain, and dependent almost entirely on the feedback network components.
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