• DocumentCode
    2617740
  • Title

    System optimization with artificial neural networks

  • Author

    Francelin, Roseli ; Gomide, Fernando ; Loparo, Kenneth

  • Author_Institution
    Sao Paulo Univ., Brazil
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    2639
  • Abstract
    A neural network with a three-layer feedback topology is proposed for solving continuous convex optimization problems. Unconstrained and constrained optimization and relationships between neural networks and optimization theory are addressed. Computational results are presented to show the usefulness of the proposed approach
  • Keywords
    mathematics computing; neural nets; optimisation; topology; constrained optimization; continuous convex optimization; neural networks; three-layer feedback topology; unconstrained optimisation; Artificial neural networks; Circuits; Constraint optimization; Constraint theory; Erbium; Network topology; Neural networks; Neurofeedback; Output feedback; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170324
  • Filename
    170324
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2617740