Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility

Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets

(2020) Hooman Harandizadeh et al.   NEURAL COMPUTING & APPLICATIONS

Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting

(2020) Gabriel Trierweiler Ribeiro et al.   Energies

Forecasting energy consumption and wind power generation using deep echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

Controller Design Based on Echo State Network with Delay Output for Nonlinear System

(2020) Xianshuang Yao et al.   COMPLEXITY

Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network

(2019) Eduardo Ramos Pérez et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network

(2019) Xianshuang Yao et al.   NEURAL NETWORKS

Design of heat exchangers using Falcon Optimization Algorithm

(2019) Emerson Hochsteiner de Vasconcelos Segundo et al.   APPLIED THERMAL ENGINEERING

Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting

(2019) Gabriel Trierweiler Ribeiro et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

DeePr-ESN: A deep projection-encoding echo-state network

(2019) Qianli Ma et al.   INFORMATION SCIENCES

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

(2018) Ha Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel heterogeneous ensemble credit scoring model based on bstacking approach

(2018) Yufei Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble of optimized echo state networks for remaining useful life prediction

(2018) Marco Rigamonti et al.   NEUROCOMPUTING

Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System

(2018) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

Stacked autoencoder with echo-state regression for tourism demand forecasting using search query data

(2018) Sheng-Xiang Lv et al.   APPLIED SOFT COMPUTING

Modeling stock market volatility using new HAR-type models

(2018) Xu Gong et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies

(2017) Eunsuk Chong et al.   EXPERT SYSTEMS WITH APPLICATIONS

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model

(2015) Werner Kristjanpoller et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deterministic Echo State Networks Based Stock Price Forecasting

(2014) Jingpei Dan et al.   Abstract and Applied Analysis

Optimal chiller loading for energy conservation using a new differential cuckoo search approach

(2014) Leandro dos Santos Coelho et al.   ENERGY

A real time clustering and SVM based price-volatility prediction for optimal trading strategy

(2013) Subhabrata Choudhury et al.   NEUROCOMPUTING

Re-visiting the echo state property

(2012) Izzet B. Yildiz et al.   NEURAL NETWORKS

Cuckoo Optimization Algorithm

(2011) Ramin Rajabioun   APPLIED SOFT COMPUTING