Bias-compensated least squares and fuzzy PSO based hierarchical identification of errors-in-variables Wiener systems
Author:
Affiliation:
1. School of Electrical Engineering, Nantong University, Nantong, People's Republic of China
2. School of Information Science and Technology, Nantong University, Nantong, People's Republic of China
Funder
National Natural Science Foundation of China
Six Talent Peaks Project in Jiangsu Province
Qinglan Project of Jiangsu Province of China
Postgraduate Research & Practice Innovation Program of Jiangsu Province
Publisher
Informa UK Limited
Subject
Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207721.2022.2135976
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1. Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
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5. Hierarchical least squares identification for feedback nonlinear equation-error systems
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