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 inIEEE transaction on neural networks and learning systems Vol. 33; no. 1; pp. 37 - 47
Main Authors Wang, Jiasen, Wang, Jun
Format Journal Article
LanguageEnglish
Published United States IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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