Jurnal Informatika
Vol 13, No 1 (2013): Jurnal Informatika

PENDEKATAN ARTIFICIAL NEURAL NETWORK (ANN) UNTUK MENGKLASIFIKASIKAN HEWAN VETEBRATA MENGGUNAKAN KOHONEN SELF ORGANIZING MAP (SOM)

Tursina Tursina (Universitas Tanjungpura)

Article Info

Publish Date
19 Oct 2014

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)

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Journal Info
Jurnal Informatika
Website

Abbrev

JurnalInformatika

Publisher

Institut Informatika dan Bisnis Darmajaya

Subject

Computer Science & IT

Description

Jurnal Informatika. Jurnal Informatika adalah jurnal cetak dan elektronik sebagai media untuk mempublikasikan hasil penelitian dan pemikiran kalangan akademisi, peneliti dan praktisi bidang informatika. Jurnal Informatika Terbit 2 kali dalam setahun yaitu Bulan Juni dan Desember dengan No. ISSN : ...