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Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou
| Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
| Autore | Farrell Jay |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (440 p.) |
| Disciplina | 629.8 |
| Altri autori (Persone) | PolycarpouMarios |
| Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
| Soggetto topico |
Adaptive control systems
Feedback control systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
| Record Nr. | UNINA-9910143397203321 |
Farrell Jay
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou
| Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
| Autore | Farrell Jay |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (440 p.) |
| Disciplina | 629.8 |
| Altri autori (Persone) | PolycarpouMarios |
| Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
| Soggetto topico |
Adaptive control systems
Feedback control systems |
| ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
| Record Nr. | UNINA-9910830081303321 |
|
Farrell Jay
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive approximation based control : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou
| Adaptive approximation based control : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
| Autore | Farrell Jay |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (440 p.) |
| Disciplina | 629.8/36 |
| Altri autori (Persone) | PolycarpouMarios |
| Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
| Soggetto topico |
Adaptive control systems
Feedback control systems |
| ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
| Record Nr. | UNINA-9910876607803321 |
|
Farrell Jay
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Networks -- ISNN 2011 [[electronic resource] ] : 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings, Part II / / edited by Derong Liu, Huaguang Zhang, Marios Polycarpou, Cesare Alippi, Haibo He
| Advances in Neural Networks -- ISNN 2011 [[electronic resource] ] : 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings, Part II / / edited by Derong Liu, Huaguang Zhang, Marios Polycarpou, Cesare Alippi, Haibo He |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XXII, 646 p.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer networks Algorithms Computer science—Mathematics Discrete mathematics Artificial intelligence Pattern recognition systems Theory of Computation Computer Communication Networks Discrete Mathematics in Computer Science Artificial Intelligence Automated Pattern Recognition |
| ISBN | 3-642-21090-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465667903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks -- ISNN 2011 [[electronic resource] ] : 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings Part I / / edited by Derong Liu, Huaguang Zhang, Marios Polycarpou, Cesare Alippi, Haibo He
| Advances in Neural Networks -- ISNN 2011 [[electronic resource] ] : 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings Part I / / edited by Derong Liu, Huaguang Zhang, Marios Polycarpou, Cesare Alippi, Haibo He |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XXXIV, 634 p. 39 illus.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer networks Algorithms Computer science—Mathematics Discrete mathematics Artificial intelligence Pattern recognition systems Theory of Computation Computer Communication Networks Discrete Mathematics in Computer Science Artificial Intelligence Automated Pattern Recognition |
| ISBN | 3-642-21105-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465665403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks -- ISNN 2011 [[electronic resource] ] : 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Prodceedings, Part III / / edited by Derong Liu, Huaguang Zhang, Marios Polycarpou, Cesare Alippi, Haibo He
| Advances in Neural Networks -- ISNN 2011 [[electronic resource] ] : 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Prodceedings, Part III / / edited by Derong Liu, Huaguang Zhang, Marios Polycarpou, Cesare Alippi, Haibo He |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XXII, 642 p.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer networks Algorithms Computer science—Mathematics Discrete mathematics Artificial intelligence Pattern recognition systems Theory of Computation Computer Communication Networks Discrete Mathematics in Computer Science Artificial Intelligence Automated Pattern Recognition |
| ISBN | 3-642-21111-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465651003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial neural networks ICANN 2009 [[electronic resource] ] : 19th International Conference, Limassol, Cyprus, September 14-17, 2009, proceedings . Part I / / Cesare Alippi, Marios Polycarpou, Christos Panayiotou, Georgios Ellinas, (eds.)
| Artificial neural networks ICANN 2009 [[electronic resource] ] : 19th International Conference, Limassol, Cyprus, September 14-17, 2009, proceedings . Part I / / Cesare Alippi, Marios Polycarpou, Christos Panayiotou, Georgios Ellinas, (eds.) |
| Autore | Alippi Cesare |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, 2009 |
| Descrizione fisica | 1 online resource (XXXIII, 1030 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PolycarpouMarios
PanayiotouChristos EllinasGeorgios |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Neural networks (Computer science)
Artificial intelligence |
| ISBN | 3-642-04274-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning Algorithms -- Computational Neuroscience -- Hardware Implementations and Embedded Systems -- Self Organization -- Intelligent Control and Adaptive Systems -- Neural and Hybrid Architectures -- Support Vector Machine -- Recurrent Neural Network. |
| Record Nr. | UNINA-9910484680703321 |
|
Alippi Cesare
|
||
| Berlin ; ; Heidelberg, : Springer-Verlag, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hybrid Artificial Intelligence Systems [[electronic resource] ] : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligence Systems [[electronic resource] ] : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVIII, 710 p. 253 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-07617-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | HAIS Applications -- Data Mining and Knowledge Discovery -- Video and Image Analysis -- Bio-inspired Models and Evolutionary Computation -- Learning Algorithms -- Hybrid Intelligent Systems for Data Mining and Applications -- Classification and Cluster Analysis. |
| Record Nr. | UNISA-996217779303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Hybrid Artificial Intelligence Systems : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligence Systems : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVIII, 710 p. 253 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-07617-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | HAIS Applications -- Data Mining and Knowledge Discovery -- Video and Image Analysis -- Bio-inspired Models and Evolutionary Computation -- Learning Algorithms -- Hybrid Intelligent Systems for Data Mining and Applications -- Classification and Cluster Analysis. |
| Record Nr. | UNINA-9910484252703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems / / edited by Elias Kyriakides, Marios Polycarpou
| Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems / / edited by Elias Kyriakides, Marios Polycarpou |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 359 p. 144 illus., 31 illus. in color.) |
| Disciplina | 620 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Electrical engineering Quality control Reliability Industrial safety Computational Intelligence Communications Engineering, Networks Quality Control, Reliability, Safety and Risk |
| ISBN | 3-662-44160-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Critical infrastructure systems – basic principles of monitoring, control, and security -- Electric Power Systems.-Telecommunication Networks -- Water Distribution Networks Transportation Systems -- Algorithms and tools for intelligent monitoring of CIS -- Algorithms and tools for intelligent control of CIS -- Algorithms and tools for risk/impact evaluation in critical infrastructures -- Infrastructure interdependencies – modeling and analysis -- Fault diagnosis and fault tolerant control in CIS -- Wireless sensor network based technologies for CIS -- System-of-Systems approach -- Conclusions. |
| Record Nr. | UNINA-9910299690303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||