Convergence Theory for Unified Discrete-Time RNNs with Quasi-Symmetric Connection
Hui Zhong Mao, Chen Qiao, Wen Jing, Xi Chen, Jin Qin Mao · Applied Mechanics and Materials · 2014
This paper presents the global convergence theory of the discrete-time uniform pseudo projection anti-monotone network with the quasi–symmetric matrix, which removes the connection matrix constraints. The theory widens the range of applications of the discrete–time uniform pseudo projection anti–monotone network and is valid for many kinds of discrete recurrent neural network models.