@article {10.3844/jcssp.2013.218.224,
article_type = {journal},
title = {The Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors Method},
author = {Gazali, Wikaria and Soeparno, Haryono and Manik, Ngarap Im},
volume = {9},
number = {2},
year = {2013},
month = {Apr},
pages = {218-224},
doi = {10.3844/jcssp.2013.218.224},
url = {https://thescipub.com/abstract/jcssp.2013.218.224},
abstract = {Classification is a vital process in every industry. While manual classification is inefficient in terms of cost and time, the computerized techniques offer better and faster solution on this matter. Fourier Descriptors is the mathematical formulas to save objects in functions of Fourier series. While back propagation is an Artificial Neural Network (ANN) method to recognize patterns and images through ‘training’. Both of these methods will be used to produce a more efficient computerized techniques to the classification process itself.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}