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020 _a9783030205218
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024 7 _a10.1007/978-3-030-20521-8
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082 0 4 _a570,285
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082 0 4 _a570,113
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245 1 0 _aAdvances in Computational Intelligence
_h[electronic resource] :
_b15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I /
_cedited by Ignacio Rojas, Gonzalo Joya, Andreu Catala.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXXX, 940 p. 394 illus., 262 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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_2rdacarrier
347 _atext file
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490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11506
505 0 _aMachine learning in weather observation and forecasting -- Computational intelligence methods for time series -- Human activity recognition -- New and future tendencies in brain-computer interface systems -- Random-weights neural networks -- Pattern recognition -- Deep learning and natural language processing -- Software testing and intelligent systems -- Data-driven intelligent transportation systems -- Deep learning models in healthcare and biomedicine.
520 _aThis two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control,and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.
650 0 _aBioinformatics.
_99561
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer vision.
_9110916
650 0 _aComputer networks .
_931572
650 0 _aAlgorithms.
_93390
650 0 _aData protection.
_97245
650 1 4 _aComputational and Systems Biology.
_931619
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Vision.
_9110917
650 2 4 _aComputer Communication Networks.
_9110918
650 2 4 _aAlgorithms.
_93390
650 2 4 _aData and Information Security.
_931990
700 1 _aRojas, Ignacio.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9110919
700 1 _aJoya, Gonzalo.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9110920
700 1 _aCatala, Andreu.
_eeditor.
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_9110921
710 2 _aSpringerLink (Online service)
_9110922
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030205201
776 0 8 _iPrinted edition:
_z9783030205225
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v11506
_9110923
856 4 0 _uhttps://doi.org/10.1007/978-3-030-20521-8
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