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Research Paper | Mathematics | India | Volume 4 Issue 9, September 2015 | Rating: 6.6 / 10
Analysis of Complex Valued Recurrent Neural Network with Time-Delays
Ritu Vishwakarma
Abstract: We have presented a complex valued recurrent neural network given by a set of non-linear differential equation. In this paper, activation dynamics of complex valued neural networks are studied on general time scales. Besides presenting conditions guaranteeing the existence of a unique equilibrium pattern, its global exponential stability is discussed. Some numerical examples for different time scales are given in order to highlight the results. The equation is shown to possess a unique equilibrium point beside having bounded solution. The equation is shown to possess a unique equilibrium point beside having a bounded solution.
Keywords: Complex valued recurrent neural network, unique equilibrium point, contraction mapping, stability, activation function
Edition: Volume 4 Issue 9, September 2015
Pages: 536 - 538