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Title: Reproducing chaos by variable structure recurrent neural networks. Author: Felix RA, Sanchez EN, Chen G. Journal: IEEE Trans Neural Netw; 2004 Nov; 15(6):1450-7. PubMed ID: 15565772. Abstract: In this paper, we present a new approach for chaos reproduction using variable structure recurrent neural networks (VSRNN). A neural network identifier is designed, with a variable structure that will change according to its output performance as compared to the given orbits of an unknown chaotic systems. A tradeoff between identification errors and computational complexity is discussed.[Abstract] [Full Text] [Related] [New Search]