Makale detayı · 2016
Application of Artificial Neural Networks to Co-Combustion of Hazelnut Husk-Lignite Coal Blends
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Atıf 103
Üst %10
Yüzdelik 90.5%
FWCI 2.93
- Yıl
- 2016
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı BIORESOURCE TECHNOLOGY
- Katalog eşleşmesi (ISSN) Bioresource Technology
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
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Konular
Atıflar
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103 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 22 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- Investigation of thermal conversion characteristics and performance evaluation of co-combustion of pine sawdust and lignite coal using TGA, artificial neural network modeling and likelihood method 2019
- Probabilistic uncertainty analysis based on Monte Carlo simulations of co combustion of hazelnut hull and coal blends Data driven modeling and response surface optimization 2017
- Prediction of higher heating value of biochars using proximate analysis by artificial neural network 2024
- Prediction of higher heating value of biochars using proximate analysis by artificial neural network 2024
- Response surface optimization, modeling and uncertainty analysis of mass loss response of co-combustion of sewage sludge and water hyacinth 2017
- Utilization of apricot seed in (co-)combustion of lignite coal blends: Numeric optimization, empirical modeling and uncertainty estimation 2018
- Uncertainty estimation by Bayesian approach in thermochemical conversion of walnut hull and lignite coal blends 2017
- Investigation of steam gasification in thermogravimetric analysis by means of evolved gas analysis and machine learning 2022