Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays 论文

2014IEEE Transactions on Neural Networks and Learning Systems引用 284
Neural Networks Stability and SynchronizationNeural Networks and Applicationsstochastic dynamics and bifurcation

摘要

This paper deals with the problem of existence and uniform stability analysis of fractional-order complex-valued neural networks with constant time delays. Complex-valued recurrent neural networks is an extension of real-valued recurrent neural networks that includes complex-valued states, connection weights, or activation functions. This paper explains sufficient condition for the existence and uniform stability analysis of such networks. Three numerical simulations are delineated to substantiate the effectiveness of the theoretical results.