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All Journal Jurnal Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika dan Teknik Elektro Terapan JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Impresi Indonesia Jurnal Aplikasi dan Riset Informatika
Tursina Tursina
Universitas Tanjungpura
Religion Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Jurnal Informatika

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PENDEKATAN ARTIFICIAL NEURAL NETWORK (ANN) UNTUK MENGKLASIFIKASIKAN HEWAN VETEBRATA MENGGUNAKAN KOHONEN SELF ORGANIZING MAP (SOM) Tursina Tursina
Jurnal Informatika Vol 13, No 1 (2013): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v13i1.126

Abstract

This research was proposes an approach to identifying vertebrates or invertebrates that premises Kohonen Self Organizing Map (SOM). SOM is one of the topology of the Artificial Neural Network (ANN).The network will be trained to classify five kinds of animals that will represent each class. Modeling requires 6 input neurons to input the characteristics of animals and 5 output neurons (according to the number of classes specified Key Word : Kohonen Self Organizing Map (SOM), Artificial Neural Network (ANN)
Co-Authors Arif Bijaksana Putra Negara Cintya Cintya Enda Esyudha Pratama Fajar Istighfar Florensius Angelus Dolf Hengky Anra Herry Sujaini Khulaqo Tafdila Lo Bun San Muhammad Maulana Nadya Lestari Novi Safriadi Rama Ulgasesa Rina Septiriana Ryan Ariessa Trisya Ayu Pratami