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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
| Memristors for Neuromorphic Circuits and Artificial Intelligence Applications |
| Autore | Suñé Jordi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
AI
artificial intelligence artificial neural network artificial synapse autocovariance boost-factor adjustment character recognition circuit design compact model cortical neurons crossbar array deep learning networks defect-tolerant spatial pooling electronic synapses emulator Flash memories graphene oxide hardware-based deep learning ICs hierarchical temporal memory laser memristive devices memristor memristor crossbar memristor-CMOS hybrid circuit memristors multiscale modeling neocortex neural network hardware neural networks neuromorphic neuromorphic computing neuromorphic engineering neuromorphic hardware neuromorphic systems neuromorphics optimization OxRAM pattern recognition pavlov reinforcement learning resistive switching RRAM self-organization maps sensory and hippocampal responses simulation spike-timing-dependent plasticity spiking neural network spiking neural networks STDP strongly correlated oxides synapse synaptic device synaptic plasticity synaptic weight temporal pooling time series modeling transistor-like devices variability vertical RRAM wire resistance |
| ISBN | 3-03928-577-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404090703321 |
Suñé Jordi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910461571103321 |
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Eshel Gidon <1958->
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| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910789871903321 |
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Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910823944403321 |
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Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||