Results 91 to 100 of about 3,514 (178)
Improved Echo State Network (ESN) for the Prediction of Network Traffic [PDF]
Dezhong Ye +6 more
openaire +1 more source
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
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
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
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
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
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
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
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
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

