000 03359nam a22004935i 4500
001 vtls000542793
003 RU-ToGU
005 20210922082543.0
007 cr nn 008mamaa
008 160915s2014 gw | s |||| 0|eng d
020 _a9783319047416
_9978-3-319-04741-6
024 7 _a10.1007/978-3-319-04741-6
_2doi
035 _ato000542793
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aExtreme Learning Machines 2013: Algorithms and Applications
_helectronic resource
_cedited by Fuchen Sun, Kar-Ann Toh, Manuel Grana Romay, Kezhi Mao.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aVI, 225 p. 100 illus., 74 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdaptation, Learning, and Optimization,
_x1867-4534 ;
_v16
505 0 _aFreshwater 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 _aIn 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.  .
650 0 _aengineering.
_9224332
650 0 _aArtificial intelligence.
_9274099
650 1 4 _aEngineering.
_9224332
650 2 4 _aComputational Intelligence.
_9307538
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
700 1 _aSun, Fuchen.
_eeditor.
_9449438
700 1 _aToh, Kar-Ann.
_eeditor.
_9449439
700 1 _aRomay, Manuel Grana.
_eeditor.
_9449440
700 1 _aMao, Kezhi.
_eeditor.
_9449441
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aAdaptation, Learning, and Optimization,
_9449442
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-04741-6
912 _aZDB-2-ENG
999 _c400735