• DocumentCode
    261610
  • Title

    Implementation of artificial neural network with adaptable topology on fixed-point embedded systems

  • Author

    Bartl, Matous ; Cermak, Karel

  • Author_Institution
    Dept. of Appl. Electron. & Telecommun., Univ. of West Bohemia, Plzeň, Czech Republic
  • fYear
    2014
  • fDate
    25-27 Nov. 2014
  • Firstpage
    453
  • Lastpage
    456
  • Abstract
    This paper describes the methodology for implementation of artificial neural networks with adaptable parameters (weights, connections, number of neurons) on fixed-point embedded systems. Components of neuron unit and interconnecting matrix are discussed. Particular example of implementation on PIC18F46K80 is given. Results are discussed in appropriate part.
  • Keywords
    embedded systems; fixed point arithmetic; microcontrollers; neural nets; PIC18F46K80; adaptable parameters; adaptable topology; artificial neural network implementation; connection parameter; fixed-point embedded systems; interconnecting matrix; neuron parameter; neuron unit components; weight parameter; Accuracy; Approximation methods; Artificial neural networks; Microcontrollers; Neurons; Topology; Vectors; Artificial neural network; PIC18F46K80; neuron unit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum Telfor (TELFOR), 2014 22nd
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4799-6190-0
  • Type

    conf

  • DOI
    10.1109/TELFOR.2014.7034444
  • Filename
    7034444
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=261610