Results 21 to 30 of about 82,122 (260)

Comparative Analysis of Artificial Neural Networks and Extreme Learning Machine Techniques for Breast Cancer Diagnosis [PDF]

Liaquat National Journal of Cancer Care
Background: Breast cancer is the second dangerous disease that causes death in women. Early detection can reduce mortality rates by 40% or more. The procedures to be carried out in this process create extra labor and financial costs for both the patient
Ulku Veranyurt, Betul Akalin, Arzu Irban, Ozan Veranyurt   +3 more
doaj   +1 more source

An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel

Discrete Dynamics in Nature and Society, 2016
According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this ...
Senyue Zhang, Wenan Tan
doaj   +1 more source

INFORMATION-EXTREMAL CLUSTER-ANALYSIS OF INPUT DATA IN FUNCTIONAL DIAGNOSIS

Радіоелектронні і комп'ютерні системи, 2019
The study aims to increase the functional efficiency of machine learning of the functional diagnosis system of a multi-rope shaft hoist through cluster analysis of diagnostic features.
Вікторія Ігорівна Зимовець, Олександр Сергійович Приходченко, Микита Ігорович Мироненко   +2 more
doaj   +1 more source

A Novel Data Fusion Strategy Based on Extreme Learning Machine Optimized by Bat Algorithm for Mobile Heterogeneous Wireless Sensor Networks

IEEE Access, 2020
In order to effectively reduce the redundant information transmission in the network, a data fusion algorithm based on extreme learning machine optimized by bat algorithm for mobile heterogeneous wireless sensor networks is proposed.
Li Cao, Yong Cai, Yinggao Yue, Shaotang Cai, Bo Hang   +4 more
doaj   +1 more source

Deep information-extreme machine learning for autonomous UAV based on decursive data structure for semantic segmentation of digital image of a region

Радіоелектронні і комп'ютерні системи
The subject of the research is functional categorical models of deep information-extreme machine learning based on linear and hierarchical data structures, methods for optimizing machine learning parameters based on information criteria and constructing ...
Valerii Cheranovskyi, Mykyta Myronenko, Serhii Kovalevskyi, Roman Kraskovskyi, Mykhailo Otroshchenko   +4 more
doaj   +1 more source

Research on text classification algorithm based on manifold regularization extreme learning machine [PDF]

Jisuanji gongcheng, 2019
In the text classification process,the Extreme Learning Machine(ELM) randomly maps the input text features and presents a nonlinear geometric structure.As a result,the least square method cannot solve such nonlinear structures and thus affects the text ...
PANG Haoming,JI Junzhong,LIU Jinduo,YAO Yao
doaj   +1 more source

Physics-Informed Extreme Learning Machine (PIELM): Opportunities and Challenges

CoRR
We are delighted to see the recent development of physics-informed extreme learning machine (PIELM) for its higher computational efficiency and accuracy compared to other physics-informed machine learning (PIML) paradigms. Since a comprehensive summary or review of PIELM is currently unavailable, we would like to take this opportunity to share our ...
Yang, He, Ren, Fei, Calabro, Francesco, Yu, Hai-Sui, Chen, Xiaohui, Zhuang, Pei-Zhi   +5 more
openaire   +2 more sources

Surface Roughness Prediction in Ultra-Precision Milling: An Extreme Learning Machine Method with Data Fusion

Micromachines, 2023
This paper pioneers the use of the extreme learning machine (ELM) approach for surface roughness prediction in ultra-precision milling, leveraging the excellent fitting ability with small datasets and the fast learning speed of the extreme learning ...
Suiyan Shang, Chunjin Wang, Xiaoliang Liang, Chi Fai Cheung, Pai Zheng   +4 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Physics-Informed Extreme Learning Machine (PIELM) for Tunnelling-Induced Soil-Pile Interactions

CoRR
Physics-informed machine learning has been a promising data-driven and physics-informed approach in geotechnical engineering. This study proposes a physics-informed extreme learning machine (PIELM) framework for analyzing tunneling-induced soil-pile interactions.
Fu-Chen Guo, Pei-Zhi Zhuang, Fei Ren, Hong-Ya Yue, He Yang   +4 more
openaire   +3 more sources