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Neural-based orthogonal data fitting : the EXIN neural networks / / Giansalvo Cirrincione, Maurizio Cirrincione
| Neural-based orthogonal data fitting : the EXIN neural networks / / Giansalvo Cirrincione, Maurizio Cirrincione |
| Autore | Cirrincione Giansalvo <1959-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , c2010 |
| Descrizione fisica | 1 online resource (278 p.) |
| Disciplina |
006.3/2
621.399 |
| Altri autori (Persone) | CirrincioneMaurizio <1961-> |
| Collana | Adaptive and learning systems for signal processing, communications and control series |
| Soggetto topico |
Neural networks (Computer science)
Numerical analysis Orthogonalization methods |
| ISBN |
1-118-09774-2
1-283-10079-7 9786613100795 0-470-63828-1 0-470-63827-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword -- Preface -- 1 The Total Least Squares Problems -- 1.1 Introduction -- 1.2 Some TLS Applications -- 1.3 Preliminaries -- 1.4 Ordinary Least Squares Problems -- 1.5 Basic TLS Problem -- 1.6 Multidimensional TLS Problem -- 1.7 Nongeneric Unidimensional TLS Problem -- 1.8 Mixed OLS-TLS Problem -- 1.9 Algebraic Comparisons Between TLS and OLS -- 1.10 Statistical Properties and Validity -- 1.11 Basic Data Least Squares Problem -- 1.12 The Partial TLS Algorithm -- 1.13 Iterative Computation Methods -- 1.14 Rayleigh Quotient Minimization Non Neural and Neural Methods -- 2 The MCA EXIN Neuron -- 2.1 The Rayleigh Quotient -- 2.2 The Minor Component Analysis -- 2.3 The MCA EXIN Linear Neuron -- 2.4 The Rayleigh Quotient Gradient Flows -- 2.5 The MCA EXIN ODE Stability Analysis -- 2.6 Dynamics of the MCA Neurons -- 2.7 Fluctuations (Dynamic Stability) and Learning Rate -- 2.8 Numerical Considerations -- 2.9 TLS Hyperplane Fitting -- 2.10 Simulations for the MCA EXIN Neuron -- 2.11 Conclusions -- 3 Variants of the MCA EXIN Neuron -- 3.1 High-Order MCA Neurons -- 3.2 The Robust MCA EXIN Nonlinear Neuron (NMCA EXIN) -- 3.3 Extensions of the Neural MCA -- 4 Introduction to the TLS EXIN Neuron -- 4.1 From MCA EXIN to TLS EXIN -- 4.2 Deterministic Proof and Batch Mode -- 4.3 Acceleration Techniques -- 4.4 Comparison with TLS GAO -- 4.5 A TLS Application: Adaptive IIR Filtering -- 4.6 Numerical Considerations -- 4.7 The TLS Cost Landscape: Geometric Approach -- 4.8 First Considerations on the TLS Stability Analysis -- 5 Generalization of Linear Regression Problems -- 5.1 Introduction -- 5.2 The Generalized Total Least Squares (GeTLS EXIN) Approach -- 5.3 The GeTLS Stability Analysis -- 5.4 Neural Nongeneric Unidimensional TLS -- 5.5 Scheduling -- 5.6 The Accelerated MCA EXIN Neuron (MCA EXIN+) -- 5.7 Further Considerations -- 5.8 Simulations for the GeTLS EXIN Neuron -- 6 The GeMCA EXIN Theory -- 6.1 The GeMCA Approach -- 6.2 Analysis of Matrix K -- 6.3 Analysis of the Derivative of the Eigensystem of GeTLS EXIN.
6.4 Rank One Analysis Around the TLS Solution -- 6.5 The GeMCA Spectra -- 6.6 Qualitative Analysis of the Critical Points of the GeMCA EXIN Error Function -- 6.7 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910830902503321 |
Cirrincione Giansalvo <1959->
|
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| Hoboken, New Jersey : , : Wiley, , c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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NEUREL 2004 : 2004 7th Seminar on Neural Network Applications in Electrical Engineering : proceedings : September 23-25, 2004, Faculty of Electrical Engineering, University of Belgrade, Serbia and Montenegro
| NEUREL 2004 : 2004 7th Seminar on Neural Network Applications in Electrical Engineering : proceedings : September 23-25, 2004, Faculty of Electrical Engineering, University of Belgrade, Serbia and Montenegro |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2004 |
| Disciplina | 006.3/2 |
| Soggetto topico |
Neural networks (Computer science)
Engineering & Applied Sciences Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996202170103316 |
| [Place of publication not identified], : IEEE, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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NEUREL 2006 : 2004 Eight [i.e. Eighth] Seminar on Neural Network Applications in Electrical Engineering : September 25-27, 2006, Faculty of Electrical Engineering, University of Belgrade : proceedings / / editors, Branimir Reljin, Srđan Stanković
| NEUREL 2006 : 2004 Eight [i.e. Eighth] Seminar on Neural Network Applications in Electrical Engineering : September 25-27, 2006, Faculty of Electrical Engineering, University of Belgrade : proceedings / / editors, Branimir Reljin, Srđan Stanković |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 006.3/2 |
| Altri autori (Persone) |
ReljinBranimir
StankovićSrđan <1966-> |
| Soggetto topico |
Neural networks (Computer science)
Electrical engineering - Data processing |
| ISBN | 1-5090-9391-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
2006 8th Seminar on Neural Network Applications in Electrical Engineering
Secure System Integration and Reliability Improvement |
| Record Nr. | UNISA-996280933703316 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
NEUREL 2006 : 2004 Eight [i.e. Eighth] Seminar on Neural Network Applications in Electrical Engineering : September 25-27, 2006, Faculty of Electrical Engineering, University of Belgrade : proceedings / / editors, Branimir Reljin, Srđan Stanković
| NEUREL 2006 : 2004 Eight [i.e. Eighth] Seminar on Neural Network Applications in Electrical Engineering : September 25-27, 2006, Faculty of Electrical Engineering, University of Belgrade : proceedings / / editors, Branimir Reljin, Srđan Stanković |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 006.3/2 |
| Altri autori (Persone) |
ReljinBranimir
StankovićSrđan <1966-> |
| Soggetto topico |
Neural networks (Computer science)
Electrical engineering - Data processing |
| ISBN | 1-5090-9391-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
2006 8th Seminar on Neural Network Applications in Electrical Engineering
Secure System Integration and Reliability Improvement |
| Record Nr. | UNINA-9910142666703321 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Physarum machines [[electronic resource] ] : computers from slime mould / / Andrew Adamatzky
| Physarum machines [[electronic resource] ] : computers from slime mould / / Andrew Adamatzky |
| Autore | Adamatzky Andrew |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010 |
| Descrizione fisica | 1 online resource (280 p.) |
| Disciplina |
004
006.3/2 |
| Collana | World Scientific series on nonlinear science. Series A, Monographs and treatises |
| Soggetto topico |
Physarum
Physarum polycephalum Computers |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-14519-7
9786613145192 981-4327-59-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgments; Contents; 1. From reaction-diffusion to Physarum computing; 2. Experimenting with Physarum; 3. Physarum solves mazes; 4. Plane tessellation; 5. Oregonator model of Physarum growing trees; 6. Does the plasmodium follow Toussaint hierarchy?; 7. Physarum gates; 8. Kolmogorov-Uspensky machine in plasmodium; 9. Recon guring Physarum machines with attractants; 10. Programming Physarum machines with light; 11. Routing Physarum with repellents; 12. Physarum manipulators; 13. Physarum boats; 14. Manipulating substances with Physarum machine; 15. Road planning with slime mould
EpilogueBibliography; Index |
| Record Nr. | UNINA-9910464230603321 |
|
Adamatzky Andrew
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Physarum machines [[electronic resource] ] : computers from slime mould / / Andrew Adamatzky
| Physarum machines [[electronic resource] ] : computers from slime mould / / Andrew Adamatzky |
| Autore | Adamatzky Andrew |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010 |
| Descrizione fisica | 1 online resource (280 p.) |
| Disciplina |
004
006.3/2 |
| Collana | World Scientific series on nonlinear science. Series A, Monographs and treatises |
| Soggetto topico |
Physarum
Physarum polycephalum Computers |
| ISBN |
1-283-14519-7
9786613145192 981-4327-59-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgments; Contents; 1. From reaction-diffusion to Physarum computing; 2. Experimenting with Physarum; 3. Physarum solves mazes; 4. Plane tessellation; 5. Oregonator model of Physarum growing trees; 6. Does the plasmodium follow Toussaint hierarchy?; 7. Physarum gates; 8. Kolmogorov-Uspensky machine in plasmodium; 9. Recon guring Physarum machines with attractants; 10. Programming Physarum machines with light; 11. Routing Physarum with repellents; 12. Physarum manipulators; 13. Physarum boats; 14. Manipulating substances with Physarum machine; 15. Road planning with slime mould
EpilogueBibliography; Index |
| Record Nr. | UNINA-9910788549503321 |
|
Adamatzky Andrew
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Physarum machines [[electronic resource] ] : computers from slime mould / / Andrew Adamatzky
| Physarum machines [[electronic resource] ] : computers from slime mould / / Andrew Adamatzky |
| Autore | Adamatzky Andrew |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010 |
| Descrizione fisica | 1 online resource (280 p.) |
| Disciplina |
004
006.3/2 |
| Collana | World Scientific series on nonlinear science. Series A, Monographs and treatises |
| Soggetto topico |
Physarum
Physarum polycephalum Computers |
| ISBN |
1-283-14519-7
9786613145192 981-4327-59-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgments; Contents; 1. From reaction-diffusion to Physarum computing; 2. Experimenting with Physarum; 3. Physarum solves mazes; 4. Plane tessellation; 5. Oregonator model of Physarum growing trees; 6. Does the plasmodium follow Toussaint hierarchy?; 7. Physarum gates; 8. Kolmogorov-Uspensky machine in plasmodium; 9. Recon guring Physarum machines with attractants; 10. Programming Physarum machines with light; 11. Routing Physarum with repellents; 12. Physarum manipulators; 13. Physarum boats; 14. Manipulating substances with Physarum machine; 15. Road planning with slime mould
EpilogueBibliography; Index |
| Record Nr. | UNINA-9910807323003321 |
|
Adamatzky Andrew
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe
| Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe |
| Autore | Graupe Daniel |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (320 p.) |
| Disciplina | 006.3/2 |
| Collana | Advanced series on circuits and systems |
| Soggetto topico | Neural networks (Computer science) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-12170-3
9786611121709 981-277-057-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Acknowledgments; Preface to the First Edition; Preface to the Second Edition; Contents; Chapter 1. Introduction and Role of Artificial Neural Networks; Chapter 2. Fundamentals of Biological Neural Networks; Chapter 3. Basic Principles of ANNs and Their Early Structures; Chapter 4. The Perceptron; Chapter 5. The Madaline; Chapter 6. Back Propagation; Chapter 7. Hopeld Networks; Chapter 8. Counter Propagation; Chapter 9. Adaptive Resonance Theory; Chapter 10. The Cognitron and the Neocognitron; Chapter 11. Statistical Training; Chapter 12. Recurrent (Time Cycling) Back Propagation Networks
Chapter 13. Large Scale Memory Storage and Retrieval (LAMSTAR) Network Problems; References; Author Index; Subject Index |
| Record Nr. | UNINA-9910450698103321 |
|
Graupe Daniel
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe
| Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe |
| Autore | Graupe Daniel |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (320 p.) |
| Disciplina | 006.3/2 |
| Collana | Advanced series on circuits and systems |
| Soggetto topico | Neural networks (Computer science) |
| ISBN |
1-281-12170-3
9786611121709 981-277-057-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Acknowledgments; Preface to the First Edition; Preface to the Second Edition; Contents; Chapter 1. Introduction and Role of Artificial Neural Networks; Chapter 2. Fundamentals of Biological Neural Networks; Chapter 3. Basic Principles of ANNs and Their Early Structures; Chapter 4. The Perceptron; Chapter 5. The Madaline; Chapter 6. Back Propagation; Chapter 7. Hopeld Networks; Chapter 8. Counter Propagation; Chapter 9. Adaptive Resonance Theory; Chapter 10. The Cognitron and the Neocognitron; Chapter 11. Statistical Training; Chapter 12. Recurrent (Time Cycling) Back Propagation Networks
Chapter 13. Large Scale Memory Storage and Retrieval (LAMSTAR) Network Problems; References; Author Index; Subject Index |
| Record Nr. | UNINA-9910784070603321 |
|
Graupe Daniel
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe
| Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe |
| Autore | Graupe Daniel |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (320 p.) |
| Disciplina | 006.3/2 |
| Collana | Advanced series on circuits and systems |
| Soggetto topico | Neural networks (Computer science) |
| ISBN |
1-281-12170-3
9786611121709 981-277-057-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Acknowledgments; Preface to the First Edition; Preface to the Second Edition; Contents; Chapter 1. Introduction and Role of Artificial Neural Networks; Chapter 2. Fundamentals of Biological Neural Networks; Chapter 3. Basic Principles of ANNs and Their Early Structures; Chapter 4. The Perceptron; Chapter 5. The Madaline; Chapter 6. Back Propagation; Chapter 7. Hopeld Networks; Chapter 8. Counter Propagation; Chapter 9. Adaptive Resonance Theory; Chapter 10. The Cognitron and the Neocognitron; Chapter 11. Statistical Training; Chapter 12. Recurrent (Time Cycling) Back Propagation Networks
Chapter 13. Large Scale Memory Storage and Retrieval (LAMSTAR) Network Problems; References; Author Index; Subject Index |
| Record Nr. | UNINA-9910815601003321 |
|
Graupe Daniel
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
