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EBX01000000000000001149936 |
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210512 ||| eng |
| 020 |
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|a 9789535104094
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| 020 |
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|a 2296
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| 020 |
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|a 9789535156208
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| 100 |
1 |
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|a ElHefnawi, Mahmoud
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| 245 |
0 |
0 |
|a Recurrent Neural Networks and Soft Computing
|h Elektronische Ressource
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| 260 |
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|b IntechOpen
|c 2012
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| 300 |
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|a 1 electronic resource (304 p.)
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| 653 |
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|a Artificial intelligence / bicssc
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| 653 |
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|a Neural networks & fuzzy systems
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| 700 |
1 |
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|a Mysara, Mohamed
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| 700 |
1 |
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|a ElHefnawi, Mahmoud
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| 700 |
1 |
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|a Mysara, Mohamed
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
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| 028 |
5 |
0 |
|a 10.5772/2296
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| 856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/1871/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/65937
|z DOAB: description of the publication
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| 082 |
0 |
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|a 700
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| 520 |
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|a New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Methodological tools covered include ranking indices for fuzzy numbers, a neuro-fuzzy digital filter and mapping graphs of parallel programmes. The scope of the techniques profiled in real-world applications is evident from chapters on the recognition of severe weather patterns, adult and foetal ECGs in healthcare and the prediction of temperature time-series signals. Additional topics in this vein are the application of AI techniques to electromagnetic interference problems, bioprocess identification and I-term control and the use of BRNN-SVM to improve protein-domain prediction accuracy. Recurrent neural networks can also be used in virtual reality and nonlinear dynamical systems, as shown by two chapters.
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