• DocumentCode
    2974616
  • Title

    Polynomial real roots finding using Feed forward Neural Network: A simple approach

  • Author

    Das, Mangal ; Seal, P.

  • Author_Institution
    Dept. of Inf. Technol., Jadavpur Univ., Kolkata, India
  • fYear
    2012
  • fDate
    21-22 Nov. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, an intelligent method for finding number of real roots of any polynomial using Feed forward Neural Network is proposed. To find the number of real roots using neural network is intelligent as well as challenging task. There are so many approaches for finding real roots of any polynomials. In this paper we survey all those approaches, try to find out their limitations, and propose a simple solution using perceptron network with supervised learning and multi adaptive neuron model (feed forward). Furthermore, the obtained experimental results indicate that our approach of neural networks is capable of performing this task with high accuracy and less time.
  • Keywords
    feedforward neural nets; learning (artificial intelligence); mathematics computing; polynomials; feed forward neural network; intelligent method; multi adaptive neuron model; perceptron network; polynomial real roots finding; supervised learning; Biological neural networks; Feeds; Mathematical model; Neurons; Polynomials; Feed forward neural network; Madaline; perceptron network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Communication Systems (NCCCS), 2012 National Conference on
  • Conference_Location
    Durgapur
  • Print_ISBN
    978-1-4673-1952-2
  • Type

    conf

  • DOI
    10.1109/NCCCS.2012.6413004
  • Filename
    6413004