000 03220nam a22005055i 4500
001 978-3-319-04741-6
003 DE-He213
005 20200421111849.0
007 cr nn 008mamaa
008 140305s2014 gw | s |||| 0|eng d
020 _a9783319047416
_9978-3-319-04741-6
024 7 _a10.1007/978-3-319-04741-6
_2doi
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
_h[electronic resource] /
_cedited by Fuchen Sun, Kar-Ann Toh, Manuel Grana Romay, Kezhi Mao.
264 1 _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
347 _atext file
_bPDF
_2rda
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.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aSun, Fuchen.
_eeditor.
700 1 _aToh, Kar-Ann.
_eeditor.
700 1 _aRomay, Manuel Grana.
_eeditor.
700 1 _aMao, Kezhi.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319047409
830 0 _aAdaptation, Learning, and Optimization,
_x1867-4534 ;
_v16
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-04741-6
912 _aZDB-2-ENG
942 _cEBK
999 _c55990
_d55990