Linear-layer-enhanced quantum long short-term memory for carbon price forecasting

This publication has 23 references indexed in Scilit:

• Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm
  Applied Energy, 2018
• Novel optimized link state routing protocol based on quantum genetic strategy for mobile learning
  Journal of Network and Computer Applications, 2018
• Quantum circuit learning
  Physical Review A, 2018
• A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting
  Energy Economics, 2018
• Quantum information processing with superconducting circuits: a review
  Reports on Progress in Physics, 2017
• Carbon Price Forecasting with a Hybrid ARIMA and Least Squares Support Vector Machines Methodology
  2017
• Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model
  Expert Systems with Applications, 2015
• Forecasting carbon futures volatility using GARCH models with energy volatilities
  Energy Economics, 2013
• Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
  SIAM Review, 1999
• Long Short-Term Memory
  Neural Computation, 1997