Advances in Computational Intelligence : 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I / Ignacio Rojas, Gonzalo Joya, Andreu Catala (eds.).

By: (15th : International Work-Conference on Artificial and Natural Neural Networks (15th : 2019 : Gran Canaria, Canary Islands)
Contributor(s): Rojas, Ignacio [editor] | Joya, Gonzalo [editor.] | Catala, Andreu [editor.]
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 11506.; LNCS sublibrary: Publisher: Cham, Switzerland : Springer, [2019]Description: 1 online resource (XXX, 940 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9783030205218; 3030205215Other title: IWANN 2019Subject(s): Neural networks (Computer science) -- Congresses | Neural networks (Neurobiology) -- Congresses | Computational intelligence -- Congresses | Artificial intelligence | Bioinformatics | Computer security | Computer software | Computer visionGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3/2 | 570.285 LOC classification: QA76.87 | .I588 2019Online resources: Click here to access online
Contents:
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.
Summary: This 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.
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Includes bibliographical references and author index.

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.

This 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.

Online resource; title from digital title page (viewed on August 02, 2019).

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