LEADER 05785nam 22006974a 450 001 9910780291903321 005 20230124181433.0 010 $a9786610505760 010 $a1-280-50576-1 010 $a600-00-0498-2 010 $a1-60129-447-6 035 $a(CKB)111082128295656 035 $a(EBL)267517 035 $a(OCoLC)191037963 035 $a(SSID)ssj0000209601 035 $a(PQKBManifestationID)11912068 035 $a(PQKBTitleCode)TC0000209601 035 $a(PQKBWorkID)10265947 035 $a(PQKB)10443061 035 $a(MiAaPQ)EBC267517 035 $a(Au-PeEL)EBL267517 035 $a(CaPaEBR)ebr10116495 035 $a(CaONFJC)MIL50576 035 $a(OCoLC)53017775 035 $a(EXLCZ)99111082128295656 100 $a20020924d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNeural networks for instrumentation, measurement, and related industrial applications$b[electronic resource] /$fedited by Sergey Ablameyko ... [et al.] 210 $aAmsterdam ; Burke, VA $cIOS Press ;$aTokyo $cOhmsha$dc2003 215 $a1 online resource (340 p.) 225 1 $aNATO science series. Series III, Computer and systems sciences,$x1387-6694 ;$vv. 185 300 $a"Published in cooperation with NATO Scientific Affairs Division." 311 $a1-58603-303-4 311 $a0-585-45883-9 320 $aIncludes bibliographical references and index. 327 $a""Cover""; ""Title page""; ""Preface""; ""Contents""; ""1. Introduction to Neural Networks for Instrumentation, Measurement, and Industrial Applications""; ""1.1 The scientific and application motivations""; ""1.2 The scientific and application objective""; ""1.3 The book organization""; ""1.4 The book topics""; ""1.5 The socio-economical implications""; ""2. The Fundamentals of Measurement Techniques""; ""2.1 The measurement concept""; ""2.2 A big scientific and technical problem""; ""2.3 The uncertainty concept""; ""2.4 Uncertainty: definitions and methods for its determination"" 327 $a""2.5 How can the results of different measurements be compared?""""2.6 The role of the standard and the traceability concept""; ""2.7 Conclusions""; ""3. Neural Networks in Intelligent Sensors and Measurement Systems for Industrial Applications""; ""3.1 Introduction to intelligent measurement systems for industrial applications""; ""3.2 Design and implementation of neural-based systems for industrial applications""; ""3.3 Application of neural techniques for intelligent sensors and measurement systems""; ""4. Neural Networks in System Identification""; ""4.1 Introduction"" 327 $a""4.2 The main steps of modeling""""4.3 Black box model structures""; ""4.4 Neural networks""; ""4.5 Static neural network architectures""; ""4.6 Dynamic neural architectures""; ""4.7 Model parameter estimation, neural network training""; ""4.8 Model validation""; ""4.9 Why neural networks?""; ""4.10 Modeling of a complex industrial process using neural networks: special difficulties and solutions (case study)""; ""4.11 Conclusions""; ""5. Neural Techniques in Control""; ""5.1 Neural control""; ""5.2 Neural approximations""; ""5.3 Gradient algebra"" 327 $a""5.4 Neural modeling of dynamical systems""""5.5 Stabilization""; ""5.6 Tracking""; ""5.7 Optimal control""; ""5.8 Reinforcement learning""; ""5.9 Concluding remarks""; ""6. Neural Networks for Signal Processing in Measurement Analysis and Industrial Applications: the Case of Chaotic Signal Processing""; ""6.1 Introduction""; ""6.2 Multilayer neural networks""; ""6.3 Dynamical systems""; ""6.4 How can we verify if the behavior is chaotic?""; ""6.5 Embedding parameters""; ""6.6 Lyapunov's exponents""; ""6.7 A neural network approach to compute the Lyapunov's exponents"" 327 $a""6.8 Prediction of chaotic processes by using neural networks""""6.9 State space reconstruction""; ""6.10 Conclusion""; ""7. Neural Networks for Image Analysis and Processing in Measurements, Instrumentation and Related Industrial Applications""; ""7.1 Introduction""; ""7.2 Digital imaging systems""; ""7.3 Image system design parameters and modeling""; ""7.4 Multisensor image classification""; ""7.5 Pattern recognition and classification""; ""7.6 Image shape and texture analysis""; ""7.7 Image compression""; ""7.8 Nonlinear neural networks for image compression"" 327 $a""7.9 Linear neural networks for image compression"" 330 $aAims of this book are to disseminate wider and in-depth theoretical and practical knowledge about neural networks in measurement, instrumentation and the related industrial applications. It also creates a clear consciousness about the effectiveness of these techniques as well as the measurement and instrumentation application problems in industrial environments. Finally, it wants to promote the practical use of these techniques in the industry. 410 0$aNATO science series.$nSeries III,$pComputer and systems sciences ;$vv. 185. 606 $aNeural networks (Computer science)$vCongresses 606 $aNeural networks (Computer science)$xIndustrial applications$vCongresses 615 0$aNeural networks (Computer science) 615 0$aNeural networks (Computer science)$xIndustrial applications 676 $a006.32 701 $aAblameyko$b Sergey$f1956-$01557514 712 12$aNATO Advanced Study Institute on Neural Networks for Instrumentation, Measurement, and Related Industrial Applications 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780291903321 996 $aNeural networks for instrumentation, measurement, and related industrial applications$93821099 997 $aUNINA