LEADER 04047nam 22006495 450 001 9910299879203321 005 20251116191501.0 010 $a3-319-66790-4 024 7 $a10.1007/978-3-319-66790-4 035 $a(CKB)4100000000881516 035 $a(DE-He213)978-3-319-66790-4 035 $a(MiAaPQ)EBC5106913 035 $a(PPN)220123128 035 $a(EXLCZ)994100000000881516 100 $a20171015d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Hybridization of Intelligent Methods $eModels, Systems and Applications /$fedited by Ioannis Hatzilygeroudis, Vasile Palade 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (IX, 147 p. 44 illus., 23 illus. in color.) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v85 311 08$a3-319-66789-0 320 $aIncludes bibliographical references. 327 $aDeep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 -- Analysis of Biologically Inspired Swarm Communication Models -- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks -- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management -- Assurance in Reinforcement Learning Using Quantitative Verification -- Distillation of Deep Learning Ensembles as a Regularisation method -- Heuristic Constraint Answer Set Programming for Manufacturing Problems. 330 $aThis book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016.  The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v85 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aNeural networks (Computer science) 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science) 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aSignal, Image and Speech Processing. 676 $a006.3 702 $aHatzilygeroudis$b Ioannis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPalade$b Vasile$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299879203321 996 $aAdvances in Hybridization of Intelligent Methods$92544410 997 $aUNINA