Copper price forecasted by hybrid neural network with Bayesian Optimization and wavelet transform

Forecasting copper price by application of robust artificial intelligence techniques

(2021) Hasel Amini Khoshalan et al.   RESOURCES POLICY

Forecasting monthly copper price: A comparative study of various machine learning-based methods

(2021) Hong Zhang et al.   RESOURCES POLICY

An optimized model using LSTM network for demand forecasting

(2020) Hossein Abbasimehr et al.   COMPUTERS & INDUSTRIAL ENGINEERING

The impact of stock market price Fourier transform analysis on the Gated Recurrent Unit classifier model

(2020) Dragana Radojičić et al.   EXPERT SYSTEMS WITH APPLICATIONS

Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform

(2019) Zihan Chang et al.   ENERGY

Gradient based hyperparameter optimization in Echo State Networks

(2019) Luca Anthony Thiede et al.   NEURAL NETWORKS

A hybrid electricity price forecasting model with Bayesian optimization for German energy exchange

(2019) Hangyang Cheng et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

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

Forecast the electricity price of U.S. using a wavelet transform-based hybrid model

(2019) Weibiao Qiao et al.   ENERGY

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization

(2018) Antonio Candelieri et al.   COMPUTERS & OPERATIONS RESEARCH

Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction

(2018) Lu Peng et al.   ENERGY

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Copper demand, supply, and associated energy use to 2050

(2016) Ayman Elshkaki et al.   GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS

Iterative Wiener filter for unstable linear transformations of potential field data

(2015) Xiaoniu Zeng et al.   JOURNAL OF APPLIED GEOPHYSICS

A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data

(2014) C. Narendra Babu et al.   APPLIED SOFT COMPUTING

The Coming Copper Peak

(2014) R. A. Kerr   SCIENCE

Trend discovery in financial time series data using a case based fuzzy decision tree

(2010) Pei-Chann Chang et al.   EXPERT SYSTEMS WITH APPLICATIONS