Amanote Research

Amanote Research

    RegisterSign In

Research on Network Intrusion Detection Based on Incremental Extreme Learning Machine and Adaptive Principal Component Analysis

Energies - Switzerland
doi 10.3390/en12071223
Full Text
Open PDF
Abstract

Available in full text

Categories
ControlElectronic EngineeringEnergy EngineeringRenewable EnergyEnergyFuel TechnologySustainabilityOptimizationElectricalPower Technologythe Environment
Date

March 29, 2019

Authors
Jianlei GaoSenchun ChaiBaihai ZhangYuanqing Xia
Publisher

MDPI AG


Related search

Importance Sampling Based on Adaptive Principal Component Analysis

2011English

Performance Analysis of Network Intrusion Detection System Using Machine Learning

International Journal of Advanced Computer Science and Applications
Computer Science
2019English

Enforcement of the Principal Component Analysis–extreme Learning Machine Algorithm by Linear Discriminant Analysis

Neural Computing and Applications
Artificial IntelligenceSoftware
2015English

Outside the Closed World: On Using Machine Learning for Network Intrusion Detection

2010English

Host Based Intrusion Detection Using Machine Learning

2007English

Transportation Mode Detection Based on Permutation Entropy and Extreme Learning Machine

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Research on Computer Network Intrusion Detection System

2016English

Research on Wireless-Based Intrusion Detection in Mesh Network Security System

2015English

Construction and Application of Machine Learning Model in Network Intrusion Detection

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy