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Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910453334503321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910782591603321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910825960903321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in self-organizing maps, learning vector quantization, clustering and data visualization : dedicated to the memory of Teuvo Kohonen / proceedings of the 14th international workshop, WSOM+ 2022, Prague, Czechia, July 6-7 2022 / / Jan Faigl, Madalina Olteanu, Jan Drchal, editors
| Advances in self-organizing maps, learning vector quantization, clustering and data visualization : dedicated to the memory of Teuvo Kohonen / proceedings of the 14th international workshop, WSOM+ 2022, Prague, Czechia, July 6-7 2022 / / Jan Faigl, Madalina Olteanu, Jan Drchal, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (130 pages) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Neural networks (Computer science)
Self-organizing maps |
| ISBN | 3-031-15444-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910590058303321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of self-organizing maps / / edited by Magnus Johnsson
| Applications of self-organizing maps / / edited by Magnus Johnsson |
| Pubbl/distr/stampa | [Place of publication not identified] : , : InTech, , [2012] |
| Descrizione fisica | 1 online resource (300 pages) |
| Disciplina | 003.7 |
| Soggetto topico | Self-organizing maps |
| ISBN | 953-51-5722-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910138342203321 |
| [Place of publication not identified] : , : InTech, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Self-organising maps [[electronic resource] ] : applications in geographic information science / / editors, Pragya Agarwal, André Skupin
| Self-organising maps [[electronic resource] ] : applications in geographic information science / / editors, Pragya Agarwal, André Skupin |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 |
| Descrizione fisica | 1 online resource (230 p.) |
| Disciplina | 910.285 |
| Altri autori (Persone) |
AgarwalPragya
SkupinAndré |
| Soggetto topico |
Geographic information systems - Mathematical models
Self-organizing maps |
| ISBN |
1-281-31804-3
9786611318048 0-470-02169-1 0-470-02168-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of different self-organizing map variants to geographical information science problems / Fernando Bação, Victor Lobo, Marco Painho -- ; An integrated exploratory geovisualization environment based on self-organizing map / Etien L. Koua, Menno-lan Kraak -- Visual exploration of spatial interaction data with self-organizing maps / Jun Yan, Jean-Claude Thill -- Detecting geographic associations in English dialect features in North America within a visual data mining environment integrating self-organizing maps / Jean-Claude Thill ... [et al.] -- Self-organizing maps for density-preserving reduction of objects in cartographic generalization / Monika Sester -- Visualizing human movement in attribute space / André Skupin -- Climate analysis, modelling, and regional downscaling using self-organizing maps / Bruce C. Hewitson -- Prototyping broad-scale climate and ecosystem classes by means of self-organising maps / Jürgen P. Kropp, Hans Joachim Schellnhuber -- Self-organising map principles applied towards automating road extraction from remotely sensed imagery / Pete Doucette, Peggy Agouris, Anthony Stefanidis -- ; Epilogue: Intelligent systems for GIScience: Where next? A GIScience perspective / Michael Goodchild. |
| Record Nr. | UNINA-9910145564003321 |
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Self-organising maps [[electronic resource] ] : applications in geographic information science / / editors, Pragya Agarwal, André Skupin
| Self-organising maps [[electronic resource] ] : applications in geographic information science / / editors, Pragya Agarwal, André Skupin |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 |
| Descrizione fisica | 1 online resource (230 p.) |
| Disciplina | 910.285 |
| Altri autori (Persone) |
AgarwalPragya
SkupinAndré |
| Soggetto topico |
Geographic information systems - Mathematical models
Self-organizing maps |
| ISBN |
1-281-31804-3
9786611318048 0-470-02169-1 0-470-02168-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of different self-organizing map variants to geographical information science problems / Fernando Bação, Victor Lobo, Marco Painho -- ; An integrated exploratory geovisualization environment based on self-organizing map / Etien L. Koua, Menno-lan Kraak -- Visual exploration of spatial interaction data with self-organizing maps / Jun Yan, Jean-Claude Thill -- Detecting geographic associations in English dialect features in North America within a visual data mining environment integrating self-organizing maps / Jean-Claude Thill ... [et al.] -- Self-organizing maps for density-preserving reduction of objects in cartographic generalization / Monika Sester -- Visualizing human movement in attribute space / André Skupin -- Climate analysis, modelling, and regional downscaling using self-organizing maps / Bruce C. Hewitson -- Prototyping broad-scale climate and ecosystem classes by means of self-organising maps / Jürgen P. Kropp, Hans Joachim Schellnhuber -- Self-organising map principles applied towards automating road extraction from remotely sensed imagery / Pete Doucette, Peggy Agouris, Anthony Stefanidis -- ; Epilogue: Intelligent systems for GIScience: Where next? A GIScience perspective / Michael Goodchild. |
| Record Nr. | UNINA-9910830694803321 |
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Self-organising maps [[electronic resource] ] : applications in geographic information science / / editors, Pragya Agarwal, André Skupin
| Self-organising maps [[electronic resource] ] : applications in geographic information science / / editors, Pragya Agarwal, André Skupin |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 |
| Descrizione fisica | 1 online resource (230 p.) |
| Disciplina | 910.285 |
| Altri autori (Persone) |
AgarwalPragya
SkupinAndré |
| Soggetto topico |
Geographic information systems - Mathematical models
Self-organizing maps |
| ISBN |
1-281-31804-3
9786611318048 0-470-02169-1 0-470-02168-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of different self-organizing map variants to geographical information science problems / Fernando Bação, Victor Lobo, Marco Painho -- ; An integrated exploratory geovisualization environment based on self-organizing map / Etien L. Koua, Menno-lan Kraak -- Visual exploration of spatial interaction data with self-organizing maps / Jun Yan, Jean-Claude Thill -- Detecting geographic associations in English dialect features in North America within a visual data mining environment integrating self-organizing maps / Jean-Claude Thill ... [et al.] -- Self-organizing maps for density-preserving reduction of objects in cartographic generalization / Monika Sester -- Visualizing human movement in attribute space / André Skupin -- Climate analysis, modelling, and regional downscaling using self-organizing maps / Bruce C. Hewitson -- Prototyping broad-scale climate and ecosystem classes by means of self-organising maps / Jürgen P. Kropp, Hans Joachim Schellnhuber -- Self-organising map principles applied towards automating road extraction from remotely sensed imagery / Pete Doucette, Peggy Agouris, Anthony Stefanidis -- ; Epilogue: Intelligent systems for GIScience: Where next? A GIScience perspective / Michael Goodchild. |
| Record Nr. | UNINA-9910840824403321 |
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
