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Efficient hinging hyperplanes neural network and its application in nonlinear system identification

  • Published:2020-06 Issue: Volume:116 Page:108906
  • ISSN:0005-1098
  • Container-title:Automatica
  • language:en
  • Short-container-title:Automatica

Author:

Xu Jun,Tao Qinghua,Li Zhen,Xi Xiangming,Suykens Johan A.K.,Wang Shuning

Funder

National Natural Science Foundation of China

Chinese Scholarship Council (CSC), China

Science and Technology Innovation Committee of Shenzhen Municipality, China

ERC Advanced Grant E-DUALITY

KU Leuven C1, Belgium

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference30 articles.

1. Automatic modeling with local model networks for benchmark processes;Belz,2017

2. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd;Foundations and Trends® in Machine Learning,2011

3. Hinging hyperplanes for regression, classification and function approximation;Breiman;IEEE Transactions on Information Theory,1993

4. Dynamically scheduled model predictive control using hinging hyperplane models;Chikkula;AIChE Journal,1998

5. Smoothing noisy data with spline functions;Craven;Numerische Mathematik,1979

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