Results 11 to 20 of about 5,507 (168)

Penerapan Extreme Learning Machine (ELM) untuk Peramalan Laju Inflasi di Indonesia [PDF]

Jurnal Teknologi Informasi dan Ilmu Komputer, 2019
Inflasi merupakan salah satu indikator untuk mengukur perkembangan suatu bangsa. Apabila inflasi tidak terkontrol akan memberikan banyak dampak negative terhadap masyarakat disuatu negara. Ada banyak cara untuk mengendalikan inflasi, salah satunya dengan
Adyan Nur Alfiyatin, Wayan Firdaus Mahmudy, Candra Fajri Ananda, Yusuf Priyo Anggodo   +3 more
doaj   +2 more sources

The Segmented Colour Feature Extreme Learning Machine: Applications in Agricultural Robotics

Agronomy, 2021
This study presents the Segmented Colour Feature Extreme Learning Machine (SCF-ELM). The SCF-ELM is inspired by the Extreme Learning Machine (ELM) which is known for its rapid training and inference times.
Edmund J. Sadgrove, Greg Falzon, David Miron, David W. Lamb   +3 more
doaj   +1 more source

Multilayer Fisher extreme learning machine for classification

Complex & Intelligent Systems, 2022
As a special deep learning algorithm, the multilayer extreme learning machine (ML-ELM) has been extensively studied to solve practical problems in recent years.
Jie Lai, Xiaodan Wang, Qian Xiang, Jian Wang, Lei Lei   +4 more
doaj   +1 more source

Metaheuristic Extreme Learning Machine for Improving Performance of Electric Energy Demand Forecasting

Computers, 2022
Electric energy demand forecasting is very important for electric utilities to procure and supply electric energy for consumers sufficiently, safely, reliably, and continuously.
Sarunyoo Boriratrit, Chitchai Srithapon, Pradit Fuangfoo, Rongrit Chatthaworn   +3 more
doaj   +1 more source

Prediksi Jumlah Perceraian Menggunakan Metode Extreme Learning Machine (ELM)

Journal of Information System Research (JOSH), 2023
Divorce lawsuits have considerably increased in frequency in Indonesia. According to a Statistics Indonesia estimate, there were 447,743 divorce cases in 2021, up 53.50% from the 291,677 instances that were reported in 2020. According to data from the Pekanbaru Religious Court's Public Relations, there were 1,756 divorce cases conducted in the ...
Iis Afrianty, Fadhilah Syafria, Elvia Budianita, Mawadda Warohma   +3 more
openaire   +1 more source

Classification of coal-bearing strata abnormal structure based on POA–ELM

Meitan xuebao, 2023
In order to identify and classify the abnormal structures in coal-bearing strata more accurately, a POA−ELM model based on the pelican optimization algorithm (POA) and the extreme learning machine (ELM) is proposed.
Jie GAO, Yu YI, Wenyu ZHAO, Yuanjun WANG, Liang WANG   +4 more
doaj   +1 more source

An Improved Extreme Learning Machine for Imbalanced Data Classification

IEEE Access, 2022
In the field of machine learning, Extreme Learning Machine (ELM) has been widely used in classification and regression tasks. However, like many traditional machine learning algorithms, the classification results of ELM are often not good enough when ...
Xiaopeng Zhang, Liangxi Qin
doaj   +1 more source

Spoken language identification based on the enhanced self-adjusting extreme learning machine approach. [PDF]

PLoS ONE, 2018
Spoken Language Identification (LID) is the process of determining and classifying natural language from a given content and dataset. Typically, data must be processed to extract useful features to perform LID.
Musatafa Abbas Abbood Albadr, Sabrina Tiun, Fahad Taha Al-Dhief, Mahmoud A M Sammour   +3 more
doaj   +1 more source

CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems [PDF]

International Journal of Computational Intelligence Systems, 2018
The training techniques of the distributed machine learning approach replace the traditional methods with a cloud computing infrastructure and provide flexible computing services to clients. Moreover, machine learning-based classification methods are used in many diverse applications such as medical predictions, speech/face recognition, and financial ...
Catak, Ferhat Ozgur, Mustacoglu, Ahmet Fatih   +1 more
openaire   +3 more sources

Perbandingan Metode Extreme Learning Machine (ELM) dan Kernel Extreme Learning Machine (KELM) Pada Klasifikasi Penyakit Cedera Panggul

Jurnal Fourier, 2023
Nyeri punggung bawah merupakan sebuah masalah kesehatan yang umum terjadi di dunia dan termasuk penyebab utama kecacatan.  Di Indonesia  pada tahun 2019 Hernia menduduki peringkat kedelapan penyakit terbanyak dengan jumlah kasus 292.145. Selain Hernia ganguan atau penyakit yang terjadi pada tulang panggul juga disebabkan karena menderita penyakit ...
Siti Nur Aisah, null Dian Candra Rini Novitasari, Yuniar Farida   +2 more
openaire   +1 more source