PENDETEKSIAN DERAU CITRA SECARA OTOMATIS MENGGUNAKAN TEKNIK JARINGAN SYARAF TIRUAN
Keywords:
Image, convolution, neural network, back propagation
Abstract
This research is application of neural network technique to optimize convolution operation using mask 3x3 to omit the image blurring effect. This neural network consists of three layers. They are input layer (9 neuron inputs), output layer (1 output neuron) and hidden layer. Each layer is applied to 3, 5 and 7 neuron using back propagation technique. The result shows the using five neurons to hidden layer give the highest value of sound pixel recognizing (76.47%)
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References
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Saraf Tiruan, Teori dan Aplikasi, Penerbit Andi, Yogyakarta.
John O. Moody, Panos J. Antsaklis,
The Dependence Identification Neural Network Construction Algorithm, IEEE Transactions on Neural Network Vol.7 No.1, January 1996
Jong Jek Siang, 2005, Jaringan SyarafTiruan Pemrogramannya Menggunakan Matlab, Penerbit Andi, Yogyakarta,
Lee K. Jones, Constructive
Approximations for Neural Netwok by Sigmoidal Function, Proceeding of The IEEE Vol. 78 No.10, Oktober 1990
Mauridhi Hery Purnomo, 2002, Dasar Algoritma Cedas, PENS ITS, Surabaya.
Michael Negnevitsky, 2002,
Artificial Intelligence, A Guide to Intelligent Systems, Addison Wesley.
Rafael C. Gonzales, Richard E.
Woods, 2002, Digital Image Processing, Second Edition, Prentice Hall Inc, New Jersey
Rinaldi Munir, 2004, Pengolahan
Citra Digital dengan Pendekatan Algoritma, Penerbit Informatika, Bandung.
Robert C. Williamson, Uwe Helmke,
Existence and Uniqueness Results for Neural Network
Application, IEEE Transactions on Neual Netwoks Vol. 6 No.1,
January 1995
Sri Kusumadewi, 2004, Membangun Jaringan Syaraf Tiruan Menggunakan MATLAB & EXCELL LINK, Penerbit Graha Ilmu, Yogyakarta.
Published
2009-12-18
How to Cite
julsam, J. (2009, December 18). PENDETEKSIAN DERAU CITRA SECARA OTOMATIS MENGGUNAKAN TEKNIK JARINGAN SYARAF TIRUAN. Elektron : Jurnal Ilmiah, 1(2), 73-86. https://doi.org/https://doi.org/10.30630/eji.1.2.24
Section
Articles
