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Hasil Pencarian

Ditemukan 4 dokumen yang sesuai dengan query
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Muhammad Athoillah
Study comparison of svm-, k-nn- and backpropagation-based classifier
" Classification is a method for compiling data systematically according to the rules that have been set previously. In recent years classification method has been proven to help many people’s work, such as image classification, medical biology, traffic light, text classification etc. There are many methods to solve classification problem. This variation method makes the researchers find it difficult to determine which method is best for a problem. This framework is aimed to compare the ability ... "
Surabaya: Institut Teknologi Sepuluh Nopember, Faculty of Mathematics and Science, Muhammad Athoillah, 2015
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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Umi Mahdiyah
Study comparison backpropogation, support vector machine, and extreme learning machine for bioinformatics data
" A successful understanding on how to make computers learn would open up many new uses of computers and new levels of competence and customization. A detailed understanding on inform-ation- processing algorithms for machine learning might lead to a better understanding of human learning abilities and disabilities. There are many type of machine learning that we know, which includes Backpropagation (BP), Extreme Learning Machine (ELM), and Support Vector Machine (SVM). This research uses five data that ... "
Surabaya: Institut Teknologi Sepuluh Nopember, Faculty of Mathematics and Science, 2015
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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M. Anwar Ma’sum
Early detection and monitoring system of heart disease based on electrocardiogram signal
" Penyakit jantung merupakan penyakit mematikan nomor satu di Indonesia. Salah satu penyebab utama penyakit jantung yang akut adalah tidak terdeteksinya gejala penyakit sejak awal. Untuk men-cegah bertambahnya korban kematian akibat penyakit jantung dibutuhkan suatu sistem pendeteksian dini dan monitoring penyakit jantung. Oleh sebab itu dalam penelitian ini diajukan suatu sistem pen-deteksian dini dan monitoring penyakit jantung berbasis sinyal ECG. Sistem yang diajukan memiliki tiga komponen utama, yaitu hardware ECG sensor, smartphone, dan server. Sistem yang ... "
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2014
AJ-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