Advances in Computational Intelligence (eBook, PDF)

15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I
Redaktion: Rojas, Ignacio; Catala, Andreu; Joya, Gonzalo

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 940
• Erscheinungstermin: 5. Juni 2019
• Englisch
• ISBN-13: 9783030205218
• Artikelnr.: 57626277

Inhaltsangabe

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.