Results 11 to 20 of about 61,624 (324)

NSVQ: Noise Substitution in Vector Quantization for Machine Learning

open access: yesIEEE Access, 2022
Machine learning algorithms have been shown to be highly effective in solving optimization problems in a wide range of applications. Such algorithms typically use gradient descent with backpropagation and the chain rule.
Mohammad Hassan Vali, Tom Backstrom
doaj   +1 more source

Perbandingan Algoritma Backpropagation Dan Learning Vector Quantization (LVQ) dalam Pengenalan Pola Bangun Ruang Geometri

open access: yesInvotek: Jurnal Inovasi Vokasional dan Teknologi, 2020
Penelitian ini bertujuan untuk memberikan rekomendasi dari hasil perbandingan antara metode jaringan syaraf tiruan menggunakan metode backpropagation dan learning vector quantization (LVQ) dalam melakukan pengenalan pola.
Yeka Hendriyani
doaj   +1 more source

Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI)

open access: yesIEEE Access, 2021
In a real-world environment, there are several difficult obstacles to overcome in classification. Those obstacles are data overlapping and skewness of data distribution. Overlapping data occur when many data from different classes overlap with each other;
Wisnu Jatmiko   +7 more
doaj   +1 more source

Distance Learning in Discriminative Vector Quantization [PDF]

open access: yesNeural Computation, 2009
Discriminative vector quantization schemes such as learning vector quantization (LVQ) and extensions thereof offer efficient and intuitive classifiers based on the representation of classes by prototypes. The original methods, however, rely on the Euclidean distance corresponding to the assumption that the data can be represented by isotropic clusters.
Schneider, P.   +2 more
openaire   +4 more sources

Prediksi Jenis Cacing Nematoda Usus Yang Menginfeksi Siswa Dengan Menggunakan Metoda LVQ

open access: yesDigital Zone: Jurnal Teknologi Informasi dan Komunikasi, 2017
Abstrak-Pada saat ini, Jaringan Syaraf Tiruan (JST) telah banyak menjadi objek penelitian yang menarik, karena penerapannya sangat potensial dalam berbagai bidang sains, salah satu penerapannya didalam memprediksi penyakit. Penelitian ini bertujuan untuk
Erni Rouza
doaj   +3 more sources

Identification of Formaldehyde Bananas using Learning Vector Quantization

open access: yesIndonesian Journal of Information Systems, 2021
Bananas that ripen with chemical process or do not ripen naturally usually, this can be recognized by the presence of blackish patches on the surface of the skin.
Rahmat Musa, Mutaqin Akbar
doaj   +1 more source

Media Pembelajaran Learning Vector Quantization Berbasis Multimedia Untuk Memudahkan Pemahaman Mahasiswa Dalam Matakuliah Jaringan Saraf Tiruan

open access: yesJurnal Sarjana Teknik Informatika, 2019
Materi Learning vector quantization pada mata kuliah jaringan saraf tiruan bagi sebagian mahasiswa dirasa sulit untuk dipahami. Materi learning vector quantization dirasa sulit oleh mahasiswa pada soal penyelesaian langkah-langkah menentukan pengkodean ...
Cahyoko Hariya Pamilu, Ardi Pujiyanta
doaj   +1 more source

Nochmals zu den Wechselfällen rhodischer Politik zu Beginn des IV. Jahrhunderts v. Chr. [PDF]

open access: yes, 1984
This thesis explores the possibilities of avoiding the issues generally associated with compression of noisy imagery, through the usage of vector quantization.
Funke, Peter
core   +1 more source

USING LEARNING VECTOR QUANTIZATION METHOD FOR AUTOMATED IDENTIFICATION OF MYCOBACTERIUM TUBERCULOSIS

open access: yesIndonesian Journal of Tropical and Infectious Disease, 2015
In this paper, we are developing an automated method for the detection of tubercle bacilli in clinical specimens, principally the sputum. This investigation is the first attempt to automatically identify TB bacilli in sputum using image processing and ...
Endah Purwanti, Prihartini Widiyanti
doaj   +1 more source

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