• DocumentCode
    278876
  • Title

    Design of a VLSI-based artificial neural network system by a student group

  • Author

    Hui, T. ; Wilkes, J. ; Morgan, P. ; Bolouri, H. ; Gurney, K.

  • Author_Institution
    Div. of Electr. & Electron. Eng., Hatfield Polytech., UK
  • fYear
    1991
  • fDate
    33591
  • Firstpage
    42644
  • Lastpage
    42647
  • Abstract
    Describes the subject of a particular group of projects carried out by undergraduate, MSc and PhD students, over the past three years. The projects relate to the analysis, design, development and construction of a VLSI-based artificial neural network (ANN) system. The projects have been carefully specified so that they complement each other without significant overlap. In general, the projects fall into one of three categories: applications development (e.g. speech recognition, image recognition, robot control), systems analysis (e.g. hardware configuration requirements for optimum system performance), and hardware design and development (e.g. design of a VLSI IC, design of a demonstrator system for the IC, design of input/output instrumentation such as CCD imagers or robot motion control components). As well as providing for a range of skill/ability levels from construction to open ended research, the projects enable students to concentrate on specific subject areas ranging from software engineering (applications) through hardware/software (systems analysis) to hardware design at IC, PCB and system levels
  • Keywords
    VLSI; circuit CAD; education; neural nets; MSc courses; PhD courses; VLSI-based artificial neural network system; applications development; hardware design; image recognition; input/output instrumentation; robot control; software engineering; speech recognition; student group; systems analysis; undergraduate students;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Eurochip Project - VLSI Design in Higher Education, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    182432