Results 51 to 60 of about 5,507 (168)

KLASIFIKASI KUALITAS UDARA MENGGUNAKAN METODE EXTREME LEARNING MACHINE (ELM)

METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi
Air quality is a critical factor affecting both ecological and human well-being. Air pollution is a global epidemic that poses a threat to human health and the environment. High population density resulting from industrial expansion and the increased number of motor vehicles are two primary causes of declining air quality in metropolitan areas.
Rachma Raudhatul Jannah, Muhammad Zulfikar Sholahuddin, Dina Zatusiva Haq, Dian C. Rini Novitasari   +3 more
openaire   +1 more source

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Although the extreme learning machine (ELM) has been successfully applied to hyperspectral image (HSI) classification, the development of the ELM is restricted by insufficient training data.
Xiaobo Liu, Qiubo Hu, Yaoming Cai, Zhihua Cai   +3 more
doaj   +1 more source

SVM–ELM: Pruning of Extreme Learning Machine with Support Vector Machines for Regression

Journal of Intelligent Systems, 2016
AbstractExtreme Learning Machine provides very competitive performance to other related classical predictive models for solving problems such as regression, clustering, and classification. An ELM possesses the advantage of faster computational time in both training and testing.
Mahmood Saif F., Marhaban Mohammad H., Rokhani Fakhrul Z., Samsudin Khairulmizam, Arigbabu Olasimbo Ayodeji   +4 more
openaire   +2 more sources

PREDIKSI INFLASI DI KOTA PEKANBARU MENGGUNAKAN METODE EXTREME LEARNING MACHINE (ELM)

Jurnal Statistika Industri dan Komputasi, 2023
Inflasi merupakan salah satu indikator untuk mengukur perkembangan suatu bangsa. Berbagai permasalahan timbul apabila laju inflasi mengalami peningkatan secara berkelanjutan seperti perekonomian yang tidak stabil, pertumbuhan ekonomi lambat, penurunan nilai mata uang yang secara tidak langsung mempengaruhi aktivitas perdagangan global. Oleh karena itu,
Tegar Rezki Pangestu, Yudi Setyawan, Noviana Pratiwi   +2 more
openaire   +1 more source

Performance Comparison of Extreme Learning Machine (ELM) and Hierarchical Extreme Learning Machine (H-ELM) Methods for Heart Failure Classification on Clinical Health Datasets

Journal of Electronics, Electromedical Engineering, and Medical Informatics
Heart failure is one of the leading causes of death worldwide and requires accurate and timely diagnosis to improve patient outcomes. However, early detection remains a significant challenge due to the complexity of clinical data, high dimensionality of features, and variability in patient conditions.
null Ichwan Dwi Nugraha, null Triando Hamonangan Saragih, null Irwan Budiman, null Dwi Kartini, null Fatma Indriani, Wahyu Caesarendra   +5 more
openaire   +1 more source

Temperature Characteristics Modeling for GaN PA Based on PSO-ELM

Micromachines
In order to solve the performance prediction and design optimization of power amplifiers (PAs), the performance parameters of Gallium Nitride high-electron-mobility transistor (GaN HEMT) PAs at different temperatures are modeled based on the particle ...
Qian Lin, Meiqian Wang
doaj   +1 more source

A Survey of Distributed and Parallel Extreme Learning Machine for Big Data

IEEE Access, 2020
Extreme learning machine (ELM) is characterized by good generalization performance, fast training speed and less human intervention. With the explosion of large amount of data generated on the Internet, the learning algorithm in the single-machine ...
Zhiqiong Wang, Ling Sui, Junchang Xin, Luxuan Qu, Yudong Yao   +4 more
doaj   +1 more source

An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine

Parkinson's Disease, 2016
Parkinson disease is a major public health problem all around the world. This paper proposes an expert disease diagnosis system for Parkinson disease based on genetic algorithm- (GA-) wavelet kernel- (WK-) Extreme Learning Machines (ELM).
Derya Avci, Akif Dogantekin
doaj   +1 more source

DE-ELM-SSC+：Semi-supervised Classification Algorithm

Jisuanji kexue yu tansuo, 2020
The combinations of evolutionary algorithms (EA) and analytical methods have been extensively studied in the fields of machine learning in recent years. This paper focuses on how to combine a differential evolution (DE) algorithm with the semi-supervised
PANG Jun, HUANG Heng, ZHANG Shou, SHU Zhiliang, ZHAO Yuhai
doaj   +1 more source

Sensor Fault Diagnosis for Aero Engine Based on Online Sequential Extreme Learning Machine with Memory Principle

Energies, 2017
The on-board sensor fault detection and isolation (FDI) system is essential to guarantee the reliability and safety of an aero engine. In this paper, a novel online sequential extreme learning machine with memory principle (MOS-ELM) is proposed for ...
Junjie Lu, Jinquan Huang, Feng Lu
doaj   +1 more source