• DocumentCode
    514846
  • Title

    A Method to Determine the Structure of Neural Networks Applied to Expert Systems

  • Author

    Ma, Yunhong ; Xiang, Weidong ; Zhou, Deyun ; He, Jianhua

  • Author_Institution
    Northwestern Polytechnica Univ., China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    Over the last few decades, artificial Neural Networks (NNs) has been studied well. NNs usually was used in prediction and decision making model. The key problem to design the NNs is to determine its structure. In this paper, we present an expert system based on NNs, and an efficient method is provided to determine the number of the hidden layer nodes. We take the NNs-based expert system for highway construction scheme as an example to demonstrate the feasibility of this method.
  • Keywords
    expert systems; neural nets; NNs-based expert system; artificial neural network; hidden layer node; Artificial neural networks; Automation; Databases; Decision making; Expert systems; Mechatronics; Modular construction; Neural networks; Road transportation; Soil; Expert System; Hidden layer node number; Neural Networks (NNs);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.704
  • Filename
    5459553