Autoencoders are widely used for dimensionality reduction and feature extraction. The backpropagation algorithm training the parameters of autoencoder model suffers from problems such as slow convergence. Therefore, researchers propose forward propagation algorithms. However, existing algorithms do not consider characteristics data itself. This paper proposes an based on relative entropy constr...