Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment

17 April 2020

Papers citing "Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment"

5 / 5 papers shown

Title
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives Javier Del Ser D. Casillas-Pérez L. Cornejo-Bueno Luis Prieto-Godino J. Sanz-Justo C. Casanova-Mateo S. Salcedo-Sanz AI4CE 114 48 0 26 Mar 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification Alejandro Barredo Arrieta S. Gil-Lopez I. Laña Miren Nekane Bilbao Javier Del Ser AI4TS 92 13 0 17 Feb 2021
A Review of Designs and Applications of Echo State Networks Chenxi Sun Moxian Song linda Qiao Hongyan Li AAML 64 37 0 05 Dec 2020
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 118 78 0 02 Dec 2020
Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems Allen G. Hart J. Hook Jonathan H.P Dawes 109 48 0 14 May 2020