Convergence Theory for Unified Discrete-Time RNNs with Quasi-Symmetric Connection

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This paper presents the global convergence theory of the discrete-time uniform pseudo projection anti-monotone network with the quasi–symmetric matrix, which removes the connection matrix constraints. The theory widens the range of applications of the discrete–time uniform pseudo projection anti–monotone network and is valid for many kinds of discrete recurrent neural network models.

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167-170

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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