Home » conference programme » Innovative Production Machines and Systems » Identifying defects on plywood using a minimum distance classifier and a neural network

Contents

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  Contents

  • Introduction

  • A generic Classifier

  •  The minimum distance classifier (MDC)

    •  Calculating the weights of the MDC

  •  Neural Network (NN)

    • Calculating the weights of the NN

  • Wood veneer inspection application

  • Training the classifiers

    • Comparison of WVIMDC and WVINN

  • Conclusion

‹ Identifying defects on plywood using a minimum distance classifier and a neural networkupIntroduction ›
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