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Combined Methodology for Linear Time Series Forecasting

  • Published:2020-10 Issue:12 Volume:15 Page:1780-1790
  • ISSN:1931-4973
  • Container-title:IEEJ Transactions on Electrical and Electronic Engineering
  • language:en
  • Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Moraes Muniz da Silva Ricardo1,Kugler Mauricio1,Umezaki Taizo1

Affiliation:

1. Department of Computer Science and Engineering Nagoya Institute of Technology, Gokiso‐cho Showa‐ku Nagoya 466‐8555 Japan

Funder

Ministry of Education, Culture, Sports, Science and Technology

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference47 articles.

1. Neural network forecasting of the production level of Chinese construction industry;Aryal DR;Journal of Comparative International Management,2003

2. AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING

3. Time series forecasting using a hybrid ARIMA and neural network model

4. Non‐uniform attractor embedding for time series forecasting by fuzzy inference systems;Ragulskis M;Neurocomputing,2009

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