Open AccessOptimization DataTransfer Using the Neural Network method Based on Signal Level
Author(s) -
Niskarto Zendrato,
Muhammad Zarlis,
Opim Salim Sitompul,
Elviawaty Muisa Zamzami
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1566/1/012123
Subject(s) - computer science , signal (programming language) , transfer (computing) , artificial neural network , process (computing) , point (geometry) , data transmission , the internet , quality (philosophy) , transfer function , algorithm , data mining , artificial intelligence , mathematics , engineering , computer network , philosophy , geometry , epistemology , parallel computing , world wide web , electrical engineering , programming language , operating system
The use of the internet that is very high at this time in all fields requires continuous development to improve the quality of data transfer. By improving the quality of data transfer, all activities that use the internet for transactions can run well. Good data transfer is influenced by speed, while speed is influenced by strength. There are several things that affect the data transfer process, but this research only focuses on speed and signal. Neural Network algorithm is used to determine the optimal point of the signal, where the optimal signal point is the maximum data transfer rate. This algorithm can be used to determine the optimal point with an accuracy rate of 10%