Results 91 to 100 of about 3,514 (178)

Improved Echo State Network (ESN) for the Prediction of Network Traffic [PDF]

open access: yesProceedings of the 11th EAI International Conference on Mobile Multimedia Communications, 2018
Dezhong Ye   +6 more
openaire   +1 more source

PEMFC remaining useful life prediction method combined particle swarm optimization algorithm with improved echo state network

open access: yesXibei Gongye Daxue Xuebao
In order to improve the accuracy of degradation prediction of proton exchange membrane fuel cell(PEMFC), a PEMFC voltage prediction method based on particle swarm optimization(PSO) algorithm to optimize the revised echo state network(RESN) is proposed ...
GAO Fengyang   +5 more
doaj   +1 more source

Monthly Water Level Prediction Based on ESMD-VMD-ESN Hybrid Model

open access: yesRenmin Zhujiang, 2022
Water level sequence contain complex features of multiple frequency information.To improve the prediction accuracy of the water level sequences,a combined model was developed based on Extreme-point Symmetric Mode Decomposition (ESMD),Variational Mode ...
LI Ang, ZHANG Kun, SANG Yuting, BI Wan
doaj  

A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks

open access: yesBMC Medical Informatics and Decision Making, 2010
Background Echo-state networks (ESN) are part of a group of reservoir computing methods and are basically a form of recurrent artificial neural networks (ANN). These methods can perform classification tasks on time series data.
De Turck F   +6 more
doaj   +1 more source

Bidirectional deep-readout echo state networks

open access: yes, 2018
We propose a deep architecture for the classification of multivariate time series. By means of a recurrent and untrained reservoir we generate a vectorial representation that embeds temporal relationships in the data.
Bianchi, Filippo Maria   +3 more
core  

Optimal modularity and memory capacity of neural reservoirs

open access: yes, 2019
The neural network is a powerful computing framework that has been exploited by biological evolution and by humans for solving diverse problems. Although the computational capabilities of neural networks are determined by their structure, the current ...
Ahn, Yong-Yeol   +2 more
core   +1 more source

Enhancing African market predictions: Integrating quantum computing with Echo State Networks

open access: yesScientific African
The integration of Quantum Computing into Echo State Networks (ESN) materializes in the form of the Quantum Echo State Network (QESN), a methodological innovation that reshapes predictive analytics within the domain of artificial intelligence.
Soukaina Seddik   +3 more
doaj   +1 more source

Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion

open access: yesThe Scientific World Journal, 2014
For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed.
Jie-sheng Wang, Shuang Han, Na-na Shen
doaj   +1 more source

Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN

open access: yesZhongguo dianli
Aiming at the problem that the current residual effective life prediction (RUL) technique for proton exchange membrane fuel cells (PEMFCs) has poor prediction effect in the medium and long term, a residual life prediction method based on the Improved ...
Tiejiang YUAN   +3 more
doaj   +1 more source

Data-Driven Structural Health Monitoring Through Echo State Network Regression

open access: yesInformation
This paper presents a novel data-driven approach to structural health monitoring (SHM) that uses Echo State Network (ESN) regression for continuous damage assessment. In contrast to traditional classification methods that demand extensive labeled data on
Xiaoou Li, Yingqin Zhu, Wen Yu
doaj   +1 more source

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