Wood Defects Classification Using Generalized Feed-Forward Neural Network
Ms.Bhagyashri Umesh Vaidya
, Dr.V.L Agrawal
Matlab, Nero Solution Software, Microsoft excel, GFF Neural network, FFT Transform Techniques
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.
"Wood Defects Classification Using Generalized Feed-Forward Neural Network ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 6, page no.127 - 132, June-2021, Available :https://ijsdr.org/papers/IJSDR2106019.pdf
Volume 6
Issue 6,
June-2021
Pages : 127 - 132
Paper Reg. ID: IJSDR_193402
Published Paper Id: IJSDR2106019
Downloads: 000347050
Research Area: Engineering
Country: Wardha, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
