Emotion recognition using sigma-pi neural network
Nonna Ye. Kulishova · 2016
The problem of emotion state recognition using the sigma-pi artificial neural network is considered. The specific feature of the considered network is the presence of two different types of activation functions: sigmoid and bell-shaped. A learning algorithm for the sigma-pi network is proposed. This algorithm is characterized by high approximation accuracy especially for nonlinear processes in real time. Training and testing network on image dataset was made.