SSAE and GRU Based Joint Modeling for Nonlinear Distributed Parameter Systems-Reference-Cited by-同舟云学术

SSAE and GRU Based Joint Modeling for Nonlinear Distributed Parameter Systems

Author:

Ai Ling¹^ORCID,Gan Junzhe¹^ORCID,Feng Xianjie²,Chen Xueqin³^ORCID

Affiliation:

1. Department of Automation, Harbin University of Science and Technology, Harbin, China

2. Department of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China

3. Research Center of Satellite Technology, Harbin Institute of Technology, Harbin, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province of China

Harbin Science and Technology Bureau of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference42 articles.

3. Empirical evaluation of gated recurrent neural networks on sequence modeling;chung;arXiv 1412 3555,2014

4. Deep sparse rectifier neural networks;glorot;Proc 14th Int Conf Artif Intell Statist,2011

5. Rectified linear units improve restricted Boltzmann machines;nair;Proc ICML,2010

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