000 03846nam a22005895i 4500
001 978-3-642-13318-3
003 DE-He213
005 20160624102142.0
007 cr nn 008mamaa
008 100530s2010 gw | s |||| 0|eng d
020 _a9783642133183
_9978-3-642-13318-3
024 7 _a10.1007/978-3-642-13318-3
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYZG
_2bicssc
072 7 _aCOM037000
_2bisacsh
082 0 4 _a004.0151
_223
245 1 0 _aAdvances in Neural Networks - ISNN 2010
_h[electronic resource] :
_b7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II /
_cedited by Liqing Zhang, Bao-Liang Lu, James Kwok.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXXX, 641p. 247 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6064
505 0 _aSVM and Kernel Methods -- Vision and Image -- Data Mining and Text Analysis -- BCI and Brain Imaging -- Applications.
520 _aThis book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled “Advances in Neural Networks- ISNN 2010, Part 1,” covers the following topics: neurophysiological foundation, theory and models, learning and inference, neurodynamics. The second volume en- tled “Advance in Neural Networks ISNN 2010, Part 2” covers the following five topics: SVM and kernel methods, vision and image, data mining and text analysis, BCI and brain imaging, and applications.
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aPattern Recognition.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aDatabase Management.
700 1 _aZhang, Liqing.
_eeditor.
700 1 _aLu, Bao-Liang.
_eeditor.
700 1 _aKwok, James.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642133176
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6064
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-13318-3
942 _2EBK9053
_cEBK
999 _c38347
_d38347