04401nam 22007455 450 99646632840331620230329225945.03-030-20521-510.1007/978-3-030-20521-8(CKB)4100000008347160(DE-He213)978-3-030-20521-8(MiAaPQ)EBC5927954(PPN)254462898(EXLCZ)99410000000834716020190515d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvances 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 Catala1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XXX, 940 p. 394 illus., 262 illus. in color.) Theoretical Computer Science and General Issues,2512-2029 ;115063-030-20520-7 Includes bibliographical references and 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.Theoretical Computer Science and General Issues,2512-2029 ;11506BioinformaticsArtificial intelligenceComputer visionComputer networksAlgorithmsData protectionComputational and Systems BiologyArtificial IntelligenceComputer VisionComputer Communication NetworksAlgorithmsData and Information SecurityBioinformatics.Artificial intelligence.Computer vision.Computer networks.Algorithms.Data protection.Computational and Systems Biology.Artificial Intelligence.Computer Vision.Computer Communication Networks.Algorithms.Data and Information Security.006.3Rojas Ignacioedthttp://id.loc.gov/vocabulary/relators/edtJoya Gonzaloedthttp://id.loc.gov/vocabulary/relators/edtCatala Andreuedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466328403316Advances in Computational Intelligence2045995UNISA