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Artificial neural networks for renewable energy systems and real-world applications
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research caterin...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press,
2022.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_on1344187765 | ||
| 003 | OCoLC | ||
| 005 | 20231120010703.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 220912s2022 enk o 000 0 eng d | ||
| 040 | |a YDX |b eng |c YDX |d OPELS |d OCLCF |d N$T |d OCLCO | ||
| 020 | |a 9780128231869 |q (electronic bk.) | ||
| 020 | |a 0128231866 |q (electronic bk.) | ||
| 020 | |z 9780128207932 | ||
| 020 | |z 0128207930 | ||
| 035 | |a (OCoLC)1344187765 | ||
| 050 | 4 | |a TJ808 | |
| 082 | 0 | 4 | |a 333.794 |2 23 |
| 245 | 0 | 0 | |a Artificial neural networks for renewable energy systems and real-world applications |h [electronic resource] / |c edited by Ammar Hamed Elsheikh, Mohamed Elasyed Abd Elaziz. |
| 260 | |a London : |b Academic Press, |c 2022. | ||
| 300 | |a 1 online resource | ||
| 520 | |a Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex engineering problems in the application, modeling, analysis, and optimization of different energy systems and manufacturing processes. With growing research catering to the applications of neural networks in specific industrial applications, this reference provides a single resource catering to a broader perspective of ANN in renewable energy systems and manufacturing processes. ANN-based methods have attracted the attention of scientists and researchers in different engineering and industrial disciplines, making this book a useful reference for all researchers and engineers interested in artificial networks, renewable energy systems, and manufacturing process analysis. | ||
| 650 | 0 | |a Renewable energy sources. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 6 | |a �Energies renouvelables. |0 (CaQQLa)201-0018247 | |
| 650 | 6 | |a R�eseaux neuronaux (Informatique) |0 (CaQQLa)201-0209597 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 650 | 7 | |a Renewable energy sources |2 fast |0 (OCoLC)fst01094570 | |
| 700 | 1 | |a Elsheikh, Ammar Hamed. | |
| 700 | 1 | |a Elasyed Abd Elaziz, Mohamed. | |
| 776 | 0 | 8 | |i Print version: |z 0128207930 |z 9780128207932 |w (OCoLC)1191237407 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128207932 |z Texto completo |