ANFIS model for prediction of water temperature for Scheffler solar reflector
A soft computing prediction model for Scheffler reflector is made to predict the temperature of water obtained by absorption of solar energy. In this model Adaptive Neuro Fuzzy Interface System (ANFIS) based on 1st order of the Takagi–Sugeno model is used which predicts system behavior. Input parame...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Applied Science Innovations Private Limited
2018-03-01
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| Series: | Carbon: Science and Technology |
| Subjects: | |
| Online Access: | http://www.applied-science-innovations.com/cst-web-site/CST-10-1-2018/CST-273-10-1-2018-27-33.pdf |