LEADER 04228nam 22006375 450 001 9910299759703321 005 20200630205003.0 010 $a3-662-43370-2 024 7 $a10.1007/978-3-662-43370-6 035 $a(CKB)3710000000119215 035 $a(DE-He213)978-3-662-43370-6 035 $a(SSID)ssj0001239459 035 $a(PQKBManifestationID)11731203 035 $a(PQKBTitleCode)TC0001239459 035 $a(PQKBWorkID)11201805 035 $a(PQKB)11153104 035 $a(MiAaPQ)EBC3092109 035 $a(PPN)178783714 035 $a(EXLCZ)993710000000119215 100 $a20140522d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInnovations in Intelligent Machines-5$b[electronic resource] $eComputational Intelligence in Control Systems Engineering /$fedited by Valentina Emilia Balas, Petia Koprinkova-Hristova, Lakhmi C. Jain 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XV, 248 p. 129 illus.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v561 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-43369-9 320 $aIncludes bibliographical references. 327 $aDecentralized Fuzzy-Neural Identification and I-Term Adaptive Control of Distributed Parameter Bioprocess Plan -- Error Tolerant Predictive Control based on Recurrent Neural Models -- Advances in Multiple Models based Adaptive Switching Control: from Conventional to Intelligent approaches -- A Computational Intelligence Approach to Software Component Repository Management -- A Soft Computing Approach to Model Human Factors in Air Warfare Simulation System -- Application of Gaussian Processes to the Modelling and Control in Process Engineering -- Computational Intelligence Techniques for Chemical Process Control -- Application of Swarm Intelligence in Fuzzy Entropy based Image Segmentation. 330 $aThis research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems  based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v561 606 $aComputational intelligence 606 $aControl engineering 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aControl engineering. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aControl and Systems Theory. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aBalas$b Valentina Emilia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKoprinkova-Hristova$b Petia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299759703321 996 $aInnovations in Intelligent Machines-5$91933395 997 $aUNINA