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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Wood Defects Classification Using Generalized Feed-Forward Neural Network |
| Authors Name: | Ms.Bhagyashri Umesh Vaidya , Dr.V.L Agrawal |
| Unique Id: | IJSDR2106019 |
| Published In: | Volume 6 Issue 6, June-2021 |
| Abstract: | In this paper a new classification algorithm is proposed for the Wood Defects. In order to develop algorithm 158 different wood defect images With a view to extract features from the images after using matlab, an algorithm proposes (FFT) Fast Fourier Transform coefficients. The Efficient classifiers based on Generalized Feed-Forward Neural Networks (GFF NN). A separate Cross-Validation dataset is employed for correct evaluation of the proposed classification algorithm with reference to important performance measures, like MSE and classification accuracy. The Average Classification Accuracy of GFF Neural Network comprising of hidden layers1 with 50 PE’s organized in a typical system is found to be superior (97.5 %) for Training. Finally, optimal algorithm has been developed on the idea of the simplest classifier performance. The algorithm will provide an effective alternative to traditional method of wood defects analysis for deciding the best quality wood. |
| Keywords: | Matlab, Nero Solution Software, Microsoft excel, GFF Neural network, FFT Transform Techniques |
| Cite Article: | "Wood Defects Classification Using Generalized Feed-Forward Neural Network ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 6, page no.127 - 132, June-2021, Available :http://www.ijsdr.org/papers/IJSDR2106019.pdf |
| Downloads: | 000337071 |
| Publication Details: | Published Paper ID: IJSDR2106019 Registration ID:193402 Published In: Volume 6 Issue 6, June-2021 DOI (Digital Object Identifier): Page No: 127 - 132 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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