Forecasting Operational Parameters of a Solar Space Heating System using a Novel Multistage Artificial Neural Network
In this study, several operational parameters of a solar energy system are predicted through using a multistage ANN model. To achieve the best design of this model, three different back-propagation learning algorithms, i.e. Levenberg-Marquardt (LM), Pola-Riber Conjugate Gradient (CGP) and the Scaled...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Islamic Azad University-Isfahan (Khorasgan) Branch
2018-06-01
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| Series: | International Journal of Advanced Design and Manufacturing Technology |
| Subjects: | |
| Online Access: | https://admt.isfahan.iau.ir/article_668247_57c017b67c06b78582b74f14f5e605a9.pdf |