Switch Time Activation Function and Stopit Regression - Some Examples
Pavel Stoynov · 2022
In neural networks, single neuron can be considered as a generalization of a regression model and the activation function is the function which is applied to the output of a neuron to obtain some specific, generally non-linear type of transformation of the input signals. Here we consider Switch Time activation function and stopit regression based on using Switch Time distribution.