Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction-Reference-Cited by-同舟云学术

Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction

Published:2020-11-23 Issue: Volume: Page:
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Siqueira Hugo¹²^ORCID,Belotti Jonatas Trabuco²^ORCID,Boccato Levy³^ORCID,Luna Ivette⁴^ORCID,Attux Romis³^ORCID,Lyra Christiano³^ORCID

Affiliation:

1. Department of Electronics Federal University of Technology – Paraná (UTFPR) Dr. Washington Subtil Chueire St., 330, Jardim Carvalho Ponta Grossa PR 84017‐220 Brazil

2. Graduate Program in Computer Sciences Federal University of Technology – Paraná (UTFPR) Dr. Washington Subtil Chueire St., 330, Jardim Carvalho Ponta Grossa PR 84017‐220 Brazil

3. School of Electrical and Computer Engineering University of Campinas Av. Albert Einstein, N° 400 – Cidade Universitária Campinas SP 13083‐852 Brazil

4. Institute of Economics University of Campinas R. Pitágoras, 353 – Cidade Universitária Campinas SP 13083‐857 Brazil

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.12908

Reference79 articles.

1. A machine‐learning based ConvLSTM architecture for NDVI forecasting;Ahmad R.;International Transactions in Operational Research,2020

2. Ensemble method based on Artificial Neural Networks to estimate air pollution health risks

3. Smart Energy Optimization Using Heuristic Algorithm in Smart Grid with Integration of Solar Energy Sources

4. A comparison between neural-network forecasting techniques-case study: river flow forecasting

5. Attux R. Castro L.N. Von Zuben F.J. Romano J.M.T. 2003.A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network. IEEE International Workshop on Neural Networks for Signal Processing Toulouse France.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multivariate and hybrid data-driven models to predict thermoelectric power plants fuel consumption;Expert Systems with Applications;2024-10

2. Linear Ensembles for WTI Oil Price Forecasting;Energies;2024-08-15

3. A novel governing equation for shale gas production prediction via physics-informed neural networks;Expert Systems with Applications;2024-08

4. Optimizing BiLSTM Network Attack Prediction Based on Improved Gray Wolf Algorithm;Applied Sciences;2023-06-06

5. Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models;Energies;2023-03-23