Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons
Wei Zhou, Jacek M. Żurada · IEEE Transactions on Circuits & Systems II Express Briefs · 2009
This brief discusses a class of discrete-time recurrent neural networks with complex-valued linear threshold neurons. It addresses the boundedness, global attractivity, and complete stability of such networks. Some conditions for those properties are also derived. Examples and simulation results are used to illustrate the theory.