Advances in Computational Intelligence [[electronic resource] ] : 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala

• Record Nr.: UNISA996466328403316
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• ISBN: 3-030-20521-5
• Edizione: [1st ed. 2019.]
• Descrizione fisica: 1 online resource (XXX, 940 p. 394 illus., 262 illus. in color.)
• Collana: Theoretical Computer Science and General Issues, , 2512-2029 ; ; 11506
• Disciplina: 006.3
• Soggetti: Bioinformatics; Artificial intelligence; Computer vision; Computer networks; Algorithms; Data protection; Computational and Systems Biology; Artificial Intelligence; Computer Vision; Computer Communication Networks; Data and Information Security
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.