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Implementation of Genetic Algorithms and Momentum Backpropagation in Classification of Subtype Cells Acute Myeloid Leukimia

Dian Mustikaningrum,Retantyo Wardoyo

Acute Myeloid Leukimia (AML) is a type of cancer which attacks white blood cells from myeloid. AML subtypes M1, M2, and M3 are affected by the same type of cells called myeloblasts, so it needs more detailed analysis to classify.Momentum Backpropaga... see more

Acute Myeloid Leukimia (AML) | Neural Network | Momentum Backpropagation | Genetic Algorithm

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) , 2020

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Prediction of Smooth Rusunawa Rental Payments Using the Backpropagation Algorithm and Decision Tree DOI : 10.24114/cess.v8i2.46862 | Abstract views : 0 times

Mangapul Siahaan

Permasalahan pemukiman yang sering terjadi diperkotaan adalah keterbatasan lahan untuk tempat tinggal sedangkan pertumbuhan penduduk semakin berkembang sehingga diperlukan prasarana tempat tinggal untuk masyarakat yang golongan ekonomi kurang mampu. Kelan... see more

Prediction Rental Payment | Urban Area | Backpropagation | Decision Tree

CESS (Journal of Computer Engineering; System and Science) , 2012

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Analisis Tingkat Akurasi Variasi Algoritma Min-Max Backpropagation sebagai Pre-Processing Data Time Series DOI : 10.33633/tc.v22i2.7995

Vera Mandailina,- Abdillah,- Syaharuddin

Forecasting data does not have to be static, there are also data with high fluctuations with up and down trends. Therefore, data normalization techniques are very important before training and testing data. This paper aims to test eight types of Min-Max b... see more

Min-max algorithm | data normalization techniques | time series data | backpropagation algorithm

Techno.Com , 2023

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The Comparison of ReliefF and C.45 for Feature Selection on Heart Disease Classification Using Backpropagation

Anita Desiani,Yuli Andriani,Irmeilyana Irmeilyana,Rifkie Primartha,Muhammad Arhami,Dwi Fitrianti,Henny Nur Syafitri

One of the datasets used to predict heart disease is UCI dataset. unfortunately, the dataset contains missing data. the missing data dramatically affects the performance of the backpropagation classification method. One of the techniques used to handle mi... see more

Backpropagation | C4.5 Algorithm | Feature Selection | Missing Data | ReliefF Algorithm

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) , 2023

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Visitor satisfaction prediction of the 'Pantai Pohon Cinta' beach tourism using the backpropagation algorithm with particle swarm optimization feature selection Annahl Riadi(1); Marniyati Husain Botutihe(2) (1) Universitas Pohuwato (2) Universitas Pohuwato () Corresponding Author

This research focuses on visitors to the tourist attraction of the beach tree, the beach of the love tree is one of the mainstays of tourism in Pohuwato Regency. The problem that occurs is the number of echoes that cannot directly convey the impression fe... see more

Prediction | Visitors | Tour | Backpropagation | PSO

ILKOM Jurnal Ilmiah , 2021

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Resilient Backpropagation Neural Network on Prediction of Poverty Levels in South Sulawesi

Bobby Poerwanto, Fajriani Fajriani

Poverty is a topic that continues and is always discussed up to this time, as a benchmark indicator of how the level of welfare and prosperity in the lives of people in a country. Several attempts have been made by the central and regional governments to ... see more

Accuracy | Resilient Algorithm | Backpropagation Neural Network | Proverty Levels | Prediction

MATRIK : Jurnal Manajemen; Teknik Informatika dan Rekayasa Komputer , 2020

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PENGENALAN POLA PLAT NOMOR KENDARAAN MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION

Abstract: The application design of license plate pattern recognition using the Backpropagation neural network is the application of license plate recognition done by changing the license plate in form of a photo into a numerical text. This appl... see more

Sisfotenika , 2013

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Implementasi Algoritma Backpropagation Prediksi Kegagalan Siswa Pada Mata Pelajaran Matematika

Melladia Melladia, Iis Roza Mardani

Students become those who can advance the nation. Schools and teachers are very helpful in creating smart and competent students. But often found students who fail, one of which is in the eyes of mathematics. With problems with students Mathematics study ... see more

Backpropagation Algorithm | Mathematics | Prediction

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2018

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Prediksi Data Time-series menggunakan Jaringan Syaraf Tiruan Algoritma Backpropagation Pada Kasus Prediksi Permintaan Beras

Gita Indah Marthasari,Silcillya Ayu Astiti,Yufis Azhar

Recently, Indonesia, as a country where the majority of the population chooses rice as the primary food source, gets a decline in the rice consumption patterns, which resulted in reduced demand for rice that should have been stable. The decrease of rice p... see more

rice demand prediction | backpropagation algorithm | artificial neural network

Jurnal Informatika: Jurnal Pengembangan IT , 2021

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