An adaptive neuro-fuzzy approach to predict the thermal efficiency of differently configured solar flat plate water collector systems-Reference-Cited by-同舟云学术

An adaptive neuro-fuzzy approach to predict the thermal efficiency of differently configured solar flat plate water collector systems

Published:2023-02-10 Issue: Volume: Page:
ISSN:1387-585X
Container-title:Environment, Development and Sustainability
language:en
Short-container-title:Environ Dev Sustain

Author:

Sridharan M.^ORCID,Balaji S. Shri

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s10668-023-03000-x.pdf

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4. Ciftcioglu, Ö., Bittermann, M. S., Sariyildiz, I. S. (2007). A neural fuzzy system for soft computing. In Annual Conference of the North American Fuzzy Information Processing Society—NAFIPS. 489–495. https://doi.org/10.1109/NAFIPS.2007.383889.

5. Ekiciler, R. (2021). Effects of novel hybrid nanofluid (TiO2–Cu/EG) and geometrical parameters of triangular rib mounted in a duct on heat transfer and flow characteristics. Journal of Thermal Analysis and Calorimetry, 143(2), 1371–1387. https://doi.org/10.1007/s10973-020-09913-3

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