NDLI: Pesatnya perkembangan teknologi sekarang ini, membuat banyak computer diciptakan dan dikembangkan untuk bertindak selayaknya manusia, seperti melihat sebuah objek sampai mengenali objek tersebut. Tindakan tersebut dilakukan dengan cara membangun jaringan syaraf tiruan yang diadaptasi dari jaringan s

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Pesatnya perkembangan teknologi sekarang ini, membuat banyak computer diciptakan dan dikembangkan untuk bertindak selayaknya manusia, seperti melihat sebuah objek sampai mengenali objek tersebut. Tindakan tersebut dilakukan dengan cara membangun jaringan syaraf tiruan yang diadaptasi dari jaringan s

Content Provider	Semantic Scholar
Author	Jaringan, Implementasi Tiruan, Syaraf Pengenalan, Untuk Notasi, Pola Menggunakan, Balok Backpropagation, Metode Haumahu, John Pierre
Copyright Year	2019
Abstract	The beam notations is officially used as the standard of international music notation, and is often found in scores for both musical instruments and vocals. In Indonesia, the use of numerical notation is more widely used and understood, because the learning process of notation beams is not easy, and takes time for the introduction of each symbol and its meaning. The pattern recognition technology makes it possible to recognize the pattern of the beam notations. The software used for system development is Matlab, utilizing artificial neural network using backpropagation method to recognize the pattern of beam notation. Backpropagation is a supervised learning method, where the system will be given the training first, and then the system can understand and identify patterns based on the knowledge gained. The final result shows that the system is able to recognize patterns from notations that have been previously studied with the highest percentage of 91.20%.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/download/1183/1085
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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