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Limitations and future trends in neural computation [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.]
| Limitations and future trends in neural computation [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; ; Burke, VA, : IOS Press |
| Descrizione fisica | 1 online resource (256 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | AblameykoSergey <1956-> |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Neural networks (Computer science)
Neural computers |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-50587-7
9786610505876 1-4175-1150-8 600-00-0478-8 1-60129-443-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Preface; Contents; Chapter 1. Continuous Problem Solving and Computational Suspiciousness; Chapter 2. The Complexity of Computing with Continuous Time Devices; Chapter 3. Energy-Based Computation with Symmetric Hopfield Nets; Chapter 4. Computational Complexity and the Elusiveness of Global Optima; Chapter 5. Impact of Neural Networks on Signal Processing and Communications; Chapter 6. From Clustering Data to Traveling as a Salesman: Empirical Risk Approximation as a Learning Theory; Chapter 7. Learning High-dimensional Data
Chapter 8. The Curse of Dimensionality and the Blessing of Multiply Hybrid Networks Chapter 9. A Kind of Neural Computing Goes Practical: TeraOPS, Stored Programmable, Analog-and-Logic Visual Microprocessors - a Review; Chapter 10. On Pattern Formation in Cellular Neural Networks; Chapter 11. Reliability of Man-System Interaction and Theory of Neural Networks Operations; Chapter 12. From Neural Networks to Intelligent Systems: Selected Aspects of Training, Application and Evolution; Author Index |
| Record Nr. | UNINA-9910450372203321 |
| Amsterdam ; ; Burke, VA, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Limitations and future trends in neural computation [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.]
| Limitations and future trends in neural computation [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; ; Burke, VA, : IOS Press |
| Descrizione fisica | 1 online resource (256 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | AblameykoSergey <1956-> |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Neural networks (Computer science)
Neural computers |
| ISBN |
1-280-50587-7
9786610505876 1-4175-1150-8 600-00-0478-8 1-60129-443-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Preface; Contents; Chapter 1. Continuous Problem Solving and Computational Suspiciousness; Chapter 2. The Complexity of Computing with Continuous Time Devices; Chapter 3. Energy-Based Computation with Symmetric Hopfield Nets; Chapter 4. Computational Complexity and the Elusiveness of Global Optima; Chapter 5. Impact of Neural Networks on Signal Processing and Communications; Chapter 6. From Clustering Data to Traveling as a Salesman: Empirical Risk Approximation as a Learning Theory; Chapter 7. Learning High-dimensional Data
Chapter 8. The Curse of Dimensionality and the Blessing of Multiply Hybrid Networks Chapter 9. A Kind of Neural Computing Goes Practical: TeraOPS, Stored Programmable, Analog-and-Logic Visual Microprocessors - a Review; Chapter 10. On Pattern Formation in Cellular Neural Networks; Chapter 11. Reliability of Man-System Interaction and Theory of Neural Networks Operations; Chapter 12. From Neural Networks to Intelligent Systems: Selected Aspects of Training, Application and Evolution; Author Index |
| Record Nr. | UNINA-9910783415503321 |
| Amsterdam ; ; Burke, VA, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Limitations and future trends in neural computation / / edited by Sergey Ablameyko ... [et al.]
| Limitations and future trends in neural computation / / edited by Sergey Ablameyko ... [et al.] |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Burke, VA, : IOS Press |
| Descrizione fisica | 1 online resource (256 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | AblameykoSergey <1956-> |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Neural networks (Computer science)
Neural computers |
| ISBN |
1-280-50587-7
9786610505876 1-4175-1150-8 600-00-0478-8 1-60129-443-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title page; Preface; Contents; Chapter 1. Continuous Problem Solving and Computational Suspiciousness; Chapter 2. The Complexity of Computing with Continuous Time Devices; Chapter 3. Energy-Based Computation with Symmetric Hopfield Nets; Chapter 4. Computational Complexity and the Elusiveness of Global Optima; Chapter 5. Impact of Neural Networks on Signal Processing and Communications; Chapter 6. From Clustering Data to Traveling as a Salesman: Empirical Risk Approximation as a Learning Theory; Chapter 7. Learning High-dimensional Data
Chapter 8. The Curse of Dimensionality and the Blessing of Multiply Hybrid Networks Chapter 9. A Kind of Neural Computing Goes Practical: TeraOPS, Stored Programmable, Analog-and-Logic Visual Microprocessors - a Review; Chapter 10. On Pattern Formation in Cellular Neural Networks; Chapter 11. Reliability of Man-System Interaction and Theory of Neural Networks Operations; Chapter 12. From Neural Networks to Intelligent Systems: Selected Aspects of Training, Application and Evolution; Author Index |
| Record Nr. | UNINA-9910814306903321 |
| Amsterdam ; ; Burke, VA, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural networks for instrumentation, measurement, and related industrial applications [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.]
| Neural networks for instrumentation, measurement, and related industrial applications [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; Burke, VA, : IOS Press |
| Descrizione fisica | 1 online resource (340 p.) |
| Disciplina | 006.32 |
| Altri autori (Persone) | AblameykoSergey <1956-> |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Neural networks (Computer science)
Neural networks (Computer science) - Industrial applications |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9786610505760
1-280-50576-1 600-00-0498-2 1-60129-447-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""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""
""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"" ""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"" ""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"" ""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"" ""7.9 Linear neural networks for image compression"" |
| Record Nr. | UNINA-9910455963603321 |
| Amsterdam ; Burke, VA, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural networks for instrumentation, measurement, and related industrial applications [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.]
| Neural networks for instrumentation, measurement, and related industrial applications [[electronic resource] /] / edited by Sergey Ablameyko ... [et al.] |
| Pubbl/distr/stampa | Amsterdam ; Burke, VA, : IOS Press |
| Descrizione fisica | 1 online resource (340 p.) |
| Disciplina | 006.32 |
| Altri autori (Persone) | AblameykoSergey <1956-> |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Neural networks (Computer science)
Neural networks (Computer science) - Industrial applications |
| ISBN |
9786610505760
1-280-50576-1 600-00-0498-2 1-60129-447-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""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""
""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"" ""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"" ""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"" ""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"" ""7.9 Linear neural networks for image compression"" |
| Record Nr. | UNINA-9910780291903321 |
| Amsterdam ; Burke, VA, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural networks for instrumentation, measurement, and related industrial applications / / edited by Sergey Ablameyko ... [et al.]
| Neural networks for instrumentation, measurement, and related industrial applications / / edited by Sergey Ablameyko ... [et al.] |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; Burke, VA, : IOS Press |
| Descrizione fisica | 1 online resource (340 p.) |
| Disciplina | 006.32 |
| Altri autori (Persone) | AblameykoSergey <1956-> |
| Collana | NATO science series. Series III, Computer and systems sciences |
| Soggetto topico |
Neural networks (Computer science)
Neural networks (Computer science) - Industrial applications |
| ISBN |
9786610505760
1-280-50576-1 600-00-0498-2 1-60129-447-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""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""
""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"" ""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"" ""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"" ""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"" ""7.9 Linear neural networks for image compression"" |
| Record Nr. | UNINA-9910828434703321 |
| Amsterdam ; Burke, VA, : IOS Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||