Results 1 to 10 of about 82,122 (260)

Information-extreme machine learning of a cyber attack detection system

Радіоелектронні і комп'ютерні системи, 2022
The study aims to increase the functional efficiency of a machine learning cyber attack detection system. An information-extreme machine learning method of the cyberattack detection system with optimization of control tolerances for recognition features ...
Anatoliy Dovbysh, Volodymyr Liubchak, Igor Shelehov, Julius Simonovskiy, Alona Tenytska   +4 more
doaj   +2 more sources

INFORMATION-EXTREME MACHINE LEARNING OF KNOWLEDGE CONTROL SYSTEM

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2018
The algorithm of machine learning of an automated subsystem of control of students’ knowledge according to the test tasks of the computerized education system is considered.
Ihor Volodymyrovych Shelehov, Svitlana Oleksandrivna Pylypenko, Oleksiy Oleksandrovych Stolyarchuk, Tymofiy Andriyovych Romanenko   +3 more
doaj   +4 more sources

Information-extreme machine learning of wrist prosthesis control system based on the sparse training matrix

Журнал інженерних наук, 2022
The article considers the problem of machine learning of a wrist prosthesis control system with a non-invasive biosignal reading system. The task is solved within the framework of information-extreme intelligent data analysis technology, which is based ...
Suprunenko M. K., Zborshchyk O. P., Sokolov O.   +2 more
doaj   +3 more sources

Regularized manifold information extreme learning machine

Tongxin xuebao, 2016
By exploiting the thought of manifold learning and its theoretical method, a regularized manifold information ex-treme learning machine algorithm aimed to depict and fully utilize manifold information was proposed.
De-shan LIU, Yong-he CHU, De-qin YAN
doaj   +3 more sources

Enhancing functional efficiency in information-extreme machine learning with logistic regression ensembles

Радіоелектронні і комп'ютерні системи, 2023
The subject matter of the article is the application of supervised machine learning for the task of object class recognition. The goal is enhancing functional efficiency in information-extreme technology (IET) for object class recognition.
Oleksandr Papchenko, Borys Kuzikov, Oksana Shovkoplias   +2 more
doaj   +2 more sources

Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure

Журнал інженерних наук
The article considers the machine learning method for a hand prosthesis control system that recognizes electromyographic signals with a non-invasive recording system.
Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy   +4 more
doaj   +2 more sources

Research on Online Sequence Extreme Learning Machine Based on Multi-Modal [PDF]

Jisuanji gongcheng, 2021
The object information that a single modality contains is limited,degrading the performance in object material recognition and classification.At the same time,the sample training of the traditional multi-modal fusion methods require all data to ...
LI Qi, XIE Jun, ZHANG Zhe, DONG Junjie, XU Xinying
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

Extreme Learning Machine Under Minimum Information Divergence Criterion

IEEE Access, 2020
In recent years, extreme learning machine (ELM) and its improved algorithms have been successfully applied to various classification and regression tasks. In these algorithms, MSE criterion is commonly used to control training error.
Chengtian Song, Lizhi Pan, Qiang Liu, Zhihong Jiang, Jianguang Jia   +4 more
doaj   +1 more source

Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data

Neurocomputing, 2023
Physics-informed extreme learning machine (PIELM) has recently received significant attention as a rapid version of physics-informed neural network (PINN) for solving partial differential equations (PDEs). The key characteristic is to fix the input layer weights with random values and use Moore-Penrose generalized inverse for the output layer weights ...
Xu Liu 0021, Wen Yao 0001, Wei Peng 0010, Weien Zhou   +3 more
openaire   +2 more sources