还提出了合理配置活化函数的方法。
The method of reasonable configuration of active functions was proposed.
它采用光滑活化函数(又称激活函数)，具有一个或多个隐层，相邻两层之间通过权值全连接。
It USES the smooth activate function (also called activate function) and has one or more latent layers, with the neighboring layers fully connected by a weighting value.
另一种是含有知识人工神经元的人工神经网络(NNKBN)，其知识人工神经元的活化函数是由扩展的经验公式构成。
The other is the neural network with knowledge-based neurons (NNKBN) where extended prior knowledge analytic formulas work as activation functions of the neurons.
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