Reservoir Computing : (Record no. 7018)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01705nam a2200289 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-NbEJU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241128223842.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241118s2021 nyu gr 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789811316869 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789811316876 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 16197127 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EG-NbEJU |
| Language of cataloging | eng |
| Transcribing agency | EG-NbEJU |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q342 |
| Item number | .R47 2021 |
| 245 00 - TITLE STATEMENT | |
| Title | Reservoir Computing : |
| Remainder of title | Theory , Physical Implementations , and Applications / |
| Statement of responsibility, etc. | Editors Kohei Nakajima , Ingo Fischer |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New York : |
| Name of publisher, distributor, etc. | Springer , |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 477 Pages ; |
| Dimensions | 30 cm |
| 490 0# - SERIES STATEMENT | |
| Series statement | Natural Computing Series |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is the first comprehensive book about reservoir computing (RC). RC is a powerful and broadly applicable computational framework based on recurrent neural networks. Its advantages lie in small training data set requirements, fast training, inherent memory and high flexibility for various hardware implementations. It originated from computational neuroscience and machine learning but has, in recent years, spread dramatically, and has been introduced into a wide variety of fields, including complex systems science, physics, material science, biological science, quantum machine learning, optical communication systems, and robotics. Reviewing the current state of the art and providing a concise guide to the field, this book introduces readers to its basic concepts, theory, techniques, physical implementations and applications |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computational complexity |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fischer , Ingo |
| Relator term | Editors |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nakajima , Kohei |
| Relator term | Editors |
| 901 ## - Cataloger information | |
| Cataloger Name | Kholoud |
| 902 ## - PDF File name | |
| PDF File name | New_EJUST_1111_ (26) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Suppress in OPAC | No |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | 11/18/2024 | Q342 .R47 2021 | 10003569 | 11/18/2024 | C. 1 | 11/18/2024 | Books |