عنوان مقاله فارسی: پایداری نمایی شبکه های عصبی عودکننده خاطره ای با ارزش پیچیده
عنوان مقاله لاتین: Exponential Stability of Complex-Valued Memristive Recurrent Neural Networks
نویسندگان: Huamin Wang; Shukai Duan; Tingwen Huang; Lidan Wang; Chuandong Li
تعداد صفحات: 5
سال انتشار: 2017
زبان: لاتین
Abstract:
In this brief, we establish a novel complex-valued memristive recurrent neural network (CVMRNN) to study its stability. As a generalization of real-valued memristive neural networks, CVMRNN can be separated into real and imaginary parts. By means of M-matrix and Lyapunov function, the existence, uniqueness, and exponential stability of the equilibrium point for CVMRNNs are investigated, and sufficient conditions are presented. Finally, the effectiveness of obtained results is illustrated by two numerical examples.
exponential stability of complex-valued memristive recurrent neural networks_1618751009_47573_4145_1164.zip0.27 MB |