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Recurrent Neural Networks

Ke-Lin Du () and M. N. S. Swamy
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Ke-Lin Du: Concordia University, Department of Electrical and Computer Engineering
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 12 in Neural Networks and Statistical Learning, 2019, pp 351-371 from Springer

Abstract: Abstract Recurrent networks are neural networks with backward connections. They are dynamical systems with temporal state representations. They are used in many temporal processing models and applications. This chapter deals with recurrent networks and their learning.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4471-7452-3_12

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DOI: 10.1007/978-1-4471-7452-3_12

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