The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.
根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；
2
The effect of the stochastic property of laser source on the linewidth of mixing signal has also been discussed.
激光源的随机性对混频信号的线宽的影响也作了详细的讨论。
3
At present, two main stochastic models, point-source model and finite-fault model, are adopted to simulate ground motions.