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Nonstationary Time Series Prediction Based on Deep Echo State Network Tuned by Bayesian Optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning
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Deep echo state networks with uncertainty quantification for spatio‐temporal forecasting
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Time series prediction using deep echo state networks
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A health performance evaluation method of multirotors under wind turbulence
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Deep echo state network with reservoirs of multiple activation functions for time-series prediction
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Estimation and forecasting of PM10 air pollution in Ankara via time series and harmonic regressions
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Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
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Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction
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Image time series processing for agriculture monitoring
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ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation
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Marine Predators Algorithm: A nature-inspired metaheuristic
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Red fox optimization algorithm
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Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility
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Deep reservoir computing: A critical experimental analysis
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Financial time series prediction using ℓ2,1RF-ELM
inferredcites →https://doi.org/10.1016/j.neucom.2019.09.002openalex-snapshot
An echo state network architecture based on quantum logic gate and its optimization
inferredcites →https://doi.org/10.1016/j.rse.2008.09.003openalex-snapshot
Noise reduction of NDVI time series: An empirical comparison of selected techniques
inferredcites →https://doi.org/10.1016/j.solener.2004.09.013openalex-snapshot
Forecast of hourly average wind speed with ARMA models in Navarre (Spain)
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Time series forecasting using a hybrid ARIMA and neural network model
inferredcites →https://doi.org/10.1038/s41598-018-24271-9openalex-snapshot
Recurrent Neural Networks for Multivariate Time Series with Missing Values
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Application of the deep learning for the prediction of rainfall in Southern Taiwan
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Time series analysis and forecasting of air quality index
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Deep echo state network: a novel machine learning approach to model dew point temperature using meteorological variables
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The Forecasting of PM2.5 Using a Hybrid Model Based on Wavelet Transform and an Improved Deep Learning Algorithm
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Short-Term Load Forecasting Based on Adabelief Optimized Temporal Convolutional Network and Gated Recurrent Unit Hybrid Neural Network
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Machine Learning based Analysis of Influence Propagation on Social Network with Time Series Analysis
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489464openalex-snapshot
Deep Tree Echo State Networks
inferredcites →https://doi.org/10.1109/taes.1983.309419openalex-snapshot
ARMA Time Series Modeling: an Effective Method
inferredcites →https://doi.org/10.1109/tcyb.2016.2533545openalex-snapshot
Multilayered Echo State Machine: A Novel Architecture and Algorithm
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Forecasting PV Panel Output Using Prophet Time Series Machine Learning Model
inferredcites →https://doi.org/10.1109/tnnls.2012.2188414openalex-snapshot
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
inferredcites →https://doi.org/10.1109/tpwrs.2002.804943openalex-snapshot
ARIMA models to predict next-day electricity prices
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GRU-corr Neural Network Optimized by Improved PSO Algorithm for Time Series Prediction
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Physiological time-series analysis using approximate entropy and sample entropy
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Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
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A deep learning framework for financial time series using stacked autoencoders and long-short term memory
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Comparison Analysis of Treatment Methods and ARIMA Time-Series Forecasting of Basic Water Components in Effluent from Small-scale Public Sewage Treatment Facilities
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BMAE-Net: A Data-Driven Weather Prediction Network for Smart Agriculture
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Long Short-Term Memory Network-Based Metaheuristic for Effective Electric Energy Consumption Prediction
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Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction
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A Novel Dual-Scale Deep Belief Network Method for Daily Urban Water Demand Forecasting
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Electricity Price Forecasting Using Recurrent Neural Networks
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Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units
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EMD-Based Predictive Deep Belief Network for Time Series Prediction: An Application to Drought Forecasting
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A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation
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Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting
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Wind Power Short-Term Forecasting Hybrid Model Based on CEEMD-SE Method
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Prediction of Streamflow Based on Dynamic Sliding Window LSTM
inferredcites →https://doi.org/10.3390/w13081031openalex-snapshot
FM-GRU: A Time Series Prediction Method for Water Quality Based on seq2seq Framework
inferredcites →https://doi.org/10.3897/jucs.2020.059openalex-snapshot
Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data
inferredcites →https://doi.org/10.5370/jeet.2016.11.6.1548openalex-snapshot
Hourly Average Wind Speed Simulation and Forecast Based on ARMA Model in Jeju Island, Korea
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Indonesian rupiah exchange rate in facing COVID-19 (A time series-machine learning approach)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Adaptive echo state network with a recursive inverse-free weight update algorithm
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inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113692openalex-snapshot
Exploring low-resource weather forecasting with echo state network-based architectures and satellite data
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116026openalex-snapshot
Self-organizing cascaded echo state network for time series prediction
inferred← citeshttps://doi.org/10.1108/jeas-01-2026-0080openalex-snapshot
India's forex future: a data-driven ARIMA forecast up to 2030
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A Meta-Learning-Based Approach for Missing Value Imputation in Univariate Time Series Using Echo State Networks
inferred← citeshttps://doi.org/10.1109/tkde.2025.3622941openalex-snapshot
Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction
inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v10i4p105openalex-snapshot
Evolutionary Optimization Algorithm with Deep Echo State Network for Anomaly Detection on Secure Cloud Computing Environment
inferred← citeshttps://doi.org/10.3389/frai.2024.1397915openalex-snapshot
Multi-scale dynamics by adjusting the leaking rate to enhance the performance of deep echo state networks
inferred← citeshttps://doi.org/10.3390/math12121910openalex-snapshot
Short-Term Wind Speed Prediction for Bridge Site Area Based on Wavelet Denoising OOA-Transformer
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Improving a Prediction Model for Tunnel Water Inflow Estimation Using LSTM and Bayesian Optimization
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Research on Fresh Produce Sales Prediction Algorithm for Store Based on Multidimensional Time Series Data Analysis
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