TELKOMNIKA Telecommunication, Computing, Electronics and Control
Translating cuneiform symbols using artificial neural network
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Translating cuneiform symbols using artificial neural network
Translating cuneiform symbols using artificial neural network
Subject
Artificial neural network
Cuneiform symbols
Multi-layer perceptron
Cuneiform symbols
Multi-layer perceptron
Description
Cuneiform language is an old language that was invented by the people of
Sumerian nation. It is an essential language for many archeologists. Especially
who are interested in studying and investigating the old nations of Iraq.
Dealing with this type of language usually requires specialist to translate its
symbols, which are basically forms of nail shapes. This study presents a new
approach to translate the cuneiform writing by employing artificial neural
network (ANN) technique. Effectively, multi-layer perceptron (MLP) neural
network has been adapted for translating the Sumerian cuneiform symbol
images to their corresponding English letters. This work has been successfully
established and it attained 100%.
Sumerian nation. It is an essential language for many archeologists. Especially
who are interested in studying and investigating the old nations of Iraq.
Dealing with this type of language usually requires specialist to translate its
symbols, which are basically forms of nail shapes. This study presents a new
approach to translate the cuneiform writing by employing artificial neural
network (ANN) technique. Effectively, multi-layer perceptron (MLP) neural
network has been adapted for translating the Sumerian cuneiform symbol
images to their corresponding English letters. This work has been successfully
established and it attained 100%.
Creator
Arwa Hamed Salih Hamdany, Raid Rafi Omar Al-Nima, Lubab H. Albak
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Apr 30, 2020
Contributor
PERI IRAWAN
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Collection
Citation
Arwa Hamed Salih Hamdany, Raid Rafi Omar Al-Nima, Lubab H. Albak, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Translating cuneiform symbols using artificial neural network,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/3663.
Translating cuneiform symbols using artificial neural network,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/3663.