Extreme Learning Machines 2013: Algorithms and Applications (Record no. 55990)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03220nam a22005055i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-04741-6 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111849.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140305s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319047416 |
| -- | 978-3-319-04741-6 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | Extreme Learning Machines 2013: Algorithms and Applications |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | VI, 225 p. 100 illus., 74 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Adaptation, Learning, and Optimization, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Freshwater Algal Bloom Prediction by Extreme Learning Machine in Macau Storage Reservoirs -- A Novel Scene Based Robust Video Watermarking Scheme in DWT Domain Using Extreme Learning Machine -- Stochastic Sensitivity Analysis using Extreme Learning Machine. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outstanding merits of extreme learning machine (ELM) are its fast learning speed, trivial human intervene and high scalability. This book contains some selected papers from the International Conference on Extreme Learning Machine 2013, which was held in Beijing China, October 15-17, 2013. This conference aims to bring together the researchers and practitioners of extreme learning machine from a variety of fields including artificial intelligence, biomedical engineering and bioinformatics, system modelling and control, and signal and image processing, to promote research and discussions of "learning without iterative tuning". This book covers algorithms and applications of ELM. It gives readers a glance of the newest developments of ELM. . |
| 700 1# - AUTHOR 2 | |
| Author 2 | Sun, Fuchen. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Toh, Kar-Ann. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Romay, Manuel Grana. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Mao, Kezhi. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-04741-6 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2014. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
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| -- | rdamedia |
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| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1867-4534 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
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