Bekir Karlik
The College of Information Technology, University of Bahrain
P.O. Box: 32038, Kingdom of Bahrain
Yousif Al-Bastaki
The College of Information Technology, University of Bahrain
P.O. Box: 32038, Kingdom of Bahrain
ABSTRACT
The aim of this study is to come up with solutions that help decoration firms to deal easily with the conflicting demands of its client by finding the most appropriate matched material to a given sample. For this purpose, a Multi Layer Perceptron (MLP) structure neural network, which has back-propagation training algorithm, program was developed. This program is built on the principle of matching plain material with a textured one; based on the least existing percentage of the desired color, which is the color of the plain material.
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How to cite this article
Bekir Karlik and Yousif Al-Bastaki, 2003. Materials Matching Using Back-Propagation Algorithm. Information Technology Journal, 2: 69-71.
DOI: 10.3923/itj.2003.69.71
URL: https://scialert.net/abstract/?doi=itj.2003.69.71
DOI: 10.3923/itj.2003.69.71
URL: https://scialert.net/abstract/?doi=itj.2003.69.71
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