• DocumentCode
    2223333
  • Title

    Frankenstein PSO applied to neural network weights and architectures

  • Author

    De Lima, Natália Flora ; Ludermir, Teresa Bernarda

  • Author_Institution
    Centre of Inf., Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    2452
  • Lastpage
    2456
  • Abstract
    In this paper we present the FPSOA-FPSOP a modified version of Frankstein Particle Swarm Optimization (FPSO), which is used to adjust the weights and architectures of a feed forward neural network. To evaluate the algorithm we used benchmark classification problems in medical care area. The results were compared with other algorithms which use the same methodology to find out the weights and architectures.
  • Keywords
    feedforward neural nets; health care; neural net architecture; particle swarm optimisation; pattern classification; FPSOA-FPSOP; Frankenstein PSO; Frankstein particle swarm optimization; classification problems; feedforward neural network; medical care; neural network architecture; neural network weights; Artificial neural networks; Classification algorithms; Heart; Nickel; Optimization; Particle swarm optimization; Topology; Classification Problems; Neural Networks; Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949921
  • Filename
    5949921
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2223333