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020 _a9783642132780
_9978-3-642-13278-0
024 7 _a10.1007/978-3-642-13278-0
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_2bicssc
072 7 _aCOM014000
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072 7 _aUYA
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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 I /
_cedited by James Kwok, Bao-Liang Lu, Liqing Zhang, Bao-Liang Lu.
250 _a1st ed. 2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXXIX, 757 p. 185 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v6063
505 0 _aNeurophysiological Foundation -- Theory and Models -- Learning and Inference -- Neurodynamics.
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.
_99832
650 0 _aComputer programming.
_94169
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 0 _aComputer vision.
_9149102
650 0 _aPattern recognition systems.
_93953
650 0 _aArtificial intelligence.
_93407
650 1 4 _aTheory of Computation.
_9149103
650 2 4 _aProgramming Techniques.
_9149104
650 2 4 _aData Structures and Information Theory.
_931923
650 2 4 _aComputer Vision.
_9149105
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aKwok, James.
_eeditor.
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700 1 _aLu, Bao-Liang.
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_9149107
700 1 _aZhang, Liqing.
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_9149108
700 1 _aLu, Bao-Liang.
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_9149107
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642132773
776 0 8 _iPrinted edition:
_z9783642132797
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v6063
_9149110
856 4 0 _uhttps://doi.org/10.1007/978-3-642-13278-0
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