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Hasil Pencarian

Ditemukan 3 dokumen yang sesuai dengan query
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Rizal Adi Saputra
Macular edema classification using self-organizing map and generalized learning vector quantization
" Macular edema is a kind of human sight disease as a result of advanced stage of diabetic retinopathy. It affects the central vision of patients and in severe cases lead to blindness. However, it is still difficult to diagnose the grade of macular edema quickly and accurately even by the medical doctor's skill. This paper proposes a new method to classify fundus images of diabetics by combining Self-Organizing Maps (SOM) and Generalized Vector Quantization (GLVQ) ... "
Surabaya: Faculty of Information and Technology, Department of Informatics Institut Teknologi Sepuluh Nopember, 2014
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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Muhammad Nanda Kurniawan
Implementation of image processing algorithms and generalized learning vector quantization to track object using ar.drone camera./ Muhammad Nanda Kurniawan, Didit Widiyanto
" In this research, Parrot AR.Drone as an Unmanned Aerial Vehicle (UAV) was used to track an object from above. Development of this system utilized some functions from OpenCV library and Robot Operating System (ROS). Techniques that were implemented in the system are image processing al-gorithm (Centroid-Contour Distance (CCD)), feature extraction algorithm (Principal Component Ana-lysis (PCA)) and an artificial neural network algorithm (Generalized Learning Vector Quantization (GLVQ)). The final result of this research is a program ... "
Fakultas Ilmu Komputer Universitas Indonesia, 2014
PDF
Artikel Jurnal  Universitas Indonesia Library
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Diane Fitria
Automatic arrhythmias detection using various types of artificial neural network based learning vector quantization
" Sistem deteksi aritmia otomatis sangat diperlukan karena keterbatsan dokter spesialis jantung di Indinesia. Paper ini akan mendiskusikan secara lengkap tentang studi dan implementasi dari sistem tersebut. Kami menggunakan berbagai macam metode pengolahan sinyal untuk mengenali aritmia berdasarkan sinyal ekg. Bagian utama dari sistem adalah klasifikasi. Kami menggukanakn jaringan syaraf tiruan berbasis LVQ yang meliputi LVQ1, LVQ2, LVQ2.1, FNLVQ, FNLVQ MSA, FNLVQ-PSO, GLVQ dan FNGLVQ. Hasil eksperimen menunjukkan untuk data non round robin tingkat akurasi sistem ... "
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2014
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library