Shuang Liu

ORCID: 0009-0006-7767-9973
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About
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Research Areas
  • Statistical and numerical algorithms
  • Neural Networks and Applications
  • Numerical Methods and Algorithms
  • Machine Learning and Algorithms
  • Aerospace Engineering and Control Systems
  • Matrix Theory and Algorithms
  • Spectral Theory in Mathematical Physics
  • Machine Learning and Data Classification
  • Quantum Mechanics and Non-Hermitian Physics
  • Mathematical Analysis and Transform Methods

Novosibirsk State University
2024-2025

Liaoning University
2025

Abstract In this paper, we revisit Linear Neural Networks (LNNs) with single-output neurons performing linear operations. The study focuses on constructing an optimal regularized weight matrix Q from training pairs <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mo stretchy="false">{</m:mo> <m:mi>G</m:mi> <m:mo>,</m:mo> <m:mi>H</m:mi> stretchy="false">}</m:mo> </m:mrow> </m:math> {\{G,H\}} , reformulating the LNNs framework as equations, and addressing it a inverse problem....

10.1515/jiip-2025-0010 article EN Journal of Inverse and Ill-Posed Problems 2025-03-28
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