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Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
| Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXII, 483 p. 198 illus., 133 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer vision Numerical analysis Data mining Computer science—Mathematics Algorithms Artificial Intelligence Computer Vision Numerical Analysis Data Mining and Knowledge Discovery Mathematical Applications in Computer Science |
| ISBN | 3-030-22796-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware. |
| Record Nr. | UNISA-996465591503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
| Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer vision Numerical analysis Data mining Computer science—Mathematics Algorithms Artificial Intelligence Computer Vision Numerical Analysis Data Mining and Knowledge Discovery Mathematical Applications in Computer Science |
| ISBN | 3-030-22808-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware. |
| Record Nr. | UNISA-996465590403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
| Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer vision Numerical analysis Data mining Computer science—Mathematics Algorithms Artificial Intelligence Computer Vision Numerical Analysis Data Mining and Knowledge Discovery Mathematical Applications in Computer Science |
| ISBN | 3-030-22808-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware. |
| Record Nr. | UNINA-9910337852503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
| Advances in Neural Networks – ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXII, 483 p. 198 illus., 133 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer vision Numerical analysis Data mining Computer science—Mathematics Algorithms Artificial Intelligence Computer Vision Numerical Analysis Data Mining and Knowledge Discovery Mathematical Applications in Computer Science |
| ISBN | 3-030-22796-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware. |
| Record Nr. | UNINA-9910337852703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neuromorphic Cognitive Systems : A Learning and Memory Centered Approach / / by Qiang Yu, Huajin Tang, Jun Hu, Kay Tan Chen
| Neuromorphic Cognitive Systems : A Learning and Memory Centered Approach / / by Qiang Yu, Huajin Tang, Jun Hu, Kay Tan Chen |
| Autore | Yu Qiang |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 172 p.) |
| Disciplina | 006.32 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Artificial intelligence Neurosciences Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-55310-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons -- A Spike-Timing Based Integrated Model for Pattern Recognition -- Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns -- A Spiking Neural Network System for Robust Sequence Recognition -- Temporal Learning in Multilayer Spiking Neural Networks Through Construction of Causal Connections -- A Hierarchically Organized Memory Model with Temporal Population Coding -- Spiking Neuron Based Cognitive Memory Model. |
| Record Nr. | UNINA-9910254317403321 |
Yu Qiang
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||