Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming

This article presents a neurodynamic approach to nonlinear programming. Motivated by the idea of sequential quadratic programming, a class of two-timescale multilayer recurrent neural networks is presented with neuronal dynamics in their output layer operating at a bigger timescale than in their hid...

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Bibliographic Details

Published in:	IEEE transaction on neural networks and learning systems Vol. 33; no. 1; pp. 37 - 47
Main Authors:	Wang, Jiasen, Wang, Jun
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Global optimization Mathematical model Multilayers Neural networks Neurodynamic optimization Neurodynamics Nonhomogeneous media Nonlinear programming Programming Quadratic programming Recurrent neural networks Time two-timescale system
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
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