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This chapter investigates gradient neural networks (GNNs) used for solving linear matrix equations (LME) and to compute different generalized inverses of constant real or complex matrices with respect to continuous-time models. In addition, GNN models for solving systems of linear equations are considered.

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Gradient Neural Network (GNN) and Modifications

  • 章节

  • 发表日期：

    2025年

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  • Predrag S. Stanimirović,
  • Yimin Wei,
  • Shuai Li,
  • Dimitrios Gerontitis,
  • Xinwei Cao

摘要

This chapter investigates gradient neural networks (GNNs) used for solving linear matrix equations (LME) and to compute different generalized inverses of constant real or complex matrices with respect to continuous-time models. In addition, GNN models for solving systems of linear equations are considered.