Improvement of Prediction Performance Using Asymmetric Tanh Activation Function

摘要

The present disclosure in at least one aspect provides an asymmetric hyperbolic tangent (tanh) function which can be used as an activation function irrespective of the structure of a neural network. The activation function provided limits an output range thereof to between a maximum value and a minimum value of a variable to be predicted. The activation function provided is suitable for a regression problem which requires the prediction of a wide range of real values depending on input data.