Makale detayı · 2020
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
YÖKSİS
OpenAlex
Açık erişim · green
SJR Q1
JCR Q1
Atıf 480
Üst %1
Yüzdelik 99.9%
FWCI 86.85
- Yıl
- 2020
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Energy
- Katalog eşleşmesi (ISSN) Energy
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
480 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 13 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization 2022
- Q-learning and hyper-heuristic based algorithm recommendation for changing environments 2021
- Q-learning and hyper-heuristic based algorithm recommendation for changing environments 2021
- Artificial intelligence-based evaluation of the factors affecting the sales of an iron and steel company 2024
- Artificial intelligence-based evaluation of the factors affecting the sales of an iron and steel company 2024
- Prediction of crude oil prices in COVID-19 outbreak using real data 2022
- Are long-run income and price elasticities of oil demand time-varying? New evidence from BRICS countries 2021
- Are long-run income and price elasticities of oil demand time-varying? New evidence from BRICS countries 2021
- Novel Mathematical Modelling of Platelet-Poor Plasma Arising in a Blood Coagulation System with the Fractional Caputo-Fabrizio Derivative 2022
- Prediction of the equilibrium compositions in the combustion products of a domestic boiler 2021