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ITS » Undergraduate Theses » Jaringan Cerdas Multimedia S2
Posted by hassane@its.ac.id at 26/05/2010 14:37:25  •  4058 Views


2D IDENTIFICATION OBJECT RECOGNITION WITH NEURAL NETWORK BACKPROPAGATION

Author :
Yulianto, Rusmono  ( 2208205701 )




ABSTRAK

Di dunia teknologi media layar sentuh atau smartboard sebagai langkah kemajuan dibidang media pembelajaran. Sedang dari layar sentuh atau smartboard yang dijadikan dalam penelitian ini adalah bagaimana layar sentuh atau smartboard tersebut bisa mengidentifikasi bentuk rancang bangun gambar 2D menjadi output sesuai dengan target yang diinginkan. Neural Network adalah salah satu cabang dari Artificial Intelligent. Salah satu metode dalam Neural Network adalah Backpropagation. Aplikasi Neural Network diantaranya untuk prediksi pengenalan pola identifikasi dan simulasi. Proses identifikasi rancang bangun memerlukan image processing agar dapat digunakan sebagai masukan pada Neural Network. Dalam paper ini Neural Network dengan menggunakan metode Backpropagation diharapkan bisa menyelesaikan aplikasi untuk identifikasi pengenalan bentuk bangun datar dua dimensi secara manual menjadi bentuk yang bisa di animasikan. Hasil Pengujian prosentase tingkat error bujur sangkar 1 persegi panjang 3lingkaran 2 Segi tiga 3 Jajaran genjang 1 dan Trapesium 4. Sedangkan ratarata prosentase error hasil identifikasi pengenalan untuk setiap jenis obyek gambar bentuk 2D adalah 3.5 baik.


ABSTRACT

On a world of technology touchscreen or smartboard is a breaktrough on learning media. In this research touchscreen or smartboard is used to identify 2D objects to be an output we need. Neural Network is one of the branch of Artificial Intelligence. One of the method of Neural Network is Backpropagation. This Neural Network application is used for prediction pattern recognition identification and simulation. Identification proccess of buliding design needs an image processing so it can be used as input of Neural Network. In this paper Neural Networks Backpropagation method wished could complete an application manually for identification 2D object recognition and can be animated.



KeywordsNeural Network; Backpropagation method; identification; error rate
 
Subject:  Jaringan Saraf (Ilmu Komputer)
Contributor
  1. Moch.Hariadi, S.T,.M.Sc.,P.hD.
Date Create: 08/02/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100010039238
Collection ID: 3100010039238
Call Number: RTE 006.32 Yul i


Source
Master Thesis, Electrical Engineering, RTE 006.32 Yul i, 2010

Coverage
ITS Community

Rights
Copyright @2010 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-Undergraduate-10474-Abstract_id.pdf - 17 KB
  2.  ITS-Undergraduate-10474-Abstract_en.pdf - 14 KB
  3.  ITS-Undergraduate-10474-Paper.pdf - 572 KB




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