Application of a Hybrid Model Based on ICEEMDAN, Bayesian Hyperparameter Optimization GRU and the ARIMA in Nonferrous Metal Price Prediction

Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence

(2021) Mario Versaci et al.   International Journal of Fuzzy Systems

Revisiting ICEEMDAN and EEG rhythms

(2021) R.A. Thuraisingham   Biomedical Signal Processing and Control

Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm

(2021) Pei Du et al.   RESOURCES POLICY

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

(2020) Zhiyun Peng et al.   ENERGY CONVERSION AND MANAGEMENT

A water quality prediction method based on the multi-time scale bidirectional long short-term memory network

(2020) Qinghong Zou et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

ForecastTB—An R Package as a Test-Bench for Time Series Forecasting—Application of Wind Speed and Solar Radiation Modeling

(2020) Neeraj Dhanraj Bokde et al.   Energies

Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China

(2020) Ce Wang et al.   CHEMOSPHERE

Study on turbidity prediction method of reservoirs based on long short term memory neural network

(2020) Chenyu Song et al.   ECOLOGICAL MODELLING

Analysis of the influence of international benchmark oil price on China’s real exchange rate forecasting

(2020) Jianzhou Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases

(2020) N. V. Raja Reddy Goluguri et al.   NEURAL COMPUTING & APPLICATIONS

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

(2020) Hamed Jelodar et al.   IEEE Journal of Biomedical and Health Informatics

Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

(2020) Beakcheol Jang et al.   Applied Sciences-Basel

A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction

(2019) Neeraj Bokde et al.   Energies

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

Time-varying effects of international nonferrous metal price shocks on China’s industrial economy

(2019) Meirui Zhong et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis

(2018) Juan Wang et al.   APPLIED ENERGY

An adaptive forecasting approach for copper price volatility through hybrid and non-hybrid models

(2018) Diego García et al.   APPLIED SOFT COMPUTING

A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

(2018) Zheng Qian et al.   APPLIED ENERGY

Return volatility duration analysis of NYMEX energy futures and spot

(2017) Hongli Niu et al.   ENERGY

Multi-Scale Volatility Feature Analysis and Prediction of Gold Price

(2017) Fenghua Wen et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Volatility forecasting in Chinese nonferrous metals futures market

(2017) Xue-hong ZHU et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Forecasting Gold Prices Based on Extreme Learning Machine

(2016) Kumar Chandar Sivalingam et al.   International Journal of Computers Communications & Control

Feature Set Evaluation for Offline Handwriting Recognition Systems: Application to the Recurrent Neural Network Model

(2016) Youssouf Chherawala et al.   IEEE Transactions on Cybernetics

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control

The Model Confidence Set

(2011)   ECONOMETRICA

Modeling and forecasting crude oil markets using ARCH-type models

(2009) Chin Wen Cheong   ENERGY POLICY