Recurrent Neural Networks
The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. T...
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| Format: | Book Chapter |
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IntechOpen
2008
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 01882naaaa2200313uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_64678 | ||
| 005 | 20210420 | ||
| 020 | |a 68 | ||
| 020 | |a 9789537619084 | ||
| 020 | |a 9789535157953 | ||
| 024 | 7 | |a 10.5772/68 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a UYQ |2 bicssc | |
| 100 | 1 | |a Hu, Xiaolin |4 edt | |
| 700 | 1 | |a Balasubramaniam, P. |4 edt | |
| 700 | 1 | |a Hu, Xiaolin |4 oth | |
| 700 | 1 | |a Balasubramaniam, P. |4 oth | |
| 245 | 1 | 0 | |a Recurrent Neural Networks |
| 260 | |b IntechOpen |c 2008 | ||
| 300 | |a 1 electronic resource (402 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. The second part of the book consists of seven chapters, all of which are about system identification and control. The third part of the book is composed of Chapter 11 and Chapter 12, where two interesting RNNs are discussed, respectively.The fourth part of the book comprises four chapters focusing on optimization problems. Doing optimization in a way like the central nerve systems of advanced animals including humans is promising from some viewpoints. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-sa/3.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-sa/3.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Artificial intelligence |2 bicssc | |
| 653 | |a Neural networks & fuzzy systems | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/6118/authors_book/authors_book.pdf |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/64678 |7 0 |z DOAB: description of the publication |