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Advances in Computational Intelligence: 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 940 pages, height x width: 235x155 mm, weight: 1460 g, 262 Illustrations, color; 132 Illustrations, black and white; XXX, 940 p. 394 illus., 262 illus. in color., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 11506
  • Izdošanas datums: 16-May-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030205207
  • ISBN-13: 9783030205201
  • Mīkstie vāki
  • Cena: 104,03 €*
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  • Formāts: Paperback / softback, 940 pages, height x width: 235x155 mm, weight: 1460 g, 262 Illustrations, color; 132 Illustrations, black and white; XXX, 940 p. 394 illus., 262 illus. in color., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 11506
  • Izdošanas datums: 16-May-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030205207
  • ISBN-13: 9783030205201

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.

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.