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Analysis and Mathematical Models of Canned Electrical Machine Drives [[electronic resource] ] : In Particular a Canned Switched Reluctance Machine / / by Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian
| Analysis and Mathematical Models of Canned Electrical Machine Drives [[electronic resource] ] : In Particular a Canned Switched Reluctance Machine / / by Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian |
| Autore | Yu Qiang |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (221 pages) |
| Disciplina | 621.31042 |
| Soggetto topico |
Production of electric energy or
Microwaves Engineering Engineering mathematics Power Electronics, Electrical Machines and Networks Microwaves, RF and Optical Engineering Engineering Thermodynamics, Heat and Mass Transfer Engineering Mathematics Control and Systems Theory |
| ISBN | 981-13-2745-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Electromagnetic Analysis of the Saliency and Can Effect by Network Models -- Electromagnetic Analysis of Can Effect of a Canned Switched Reluctance Machine by FE Method -- An Analytical Model of Concentric Layer Structure for Canned Machines, Part I: Modeling of Armature Coils -- An Analytical Model of Concentric Layer Structure for Canned Machines, Part II: Modeling of Magnetic Field -- An Improved Thermal Network and Electro-thermal Coupled Analysis for Canned Electrical Machines -- Conclusions and Future Work -- Appendix. |
| Record Nr. | UNINA-9910350309503321 |
Yu Qiang
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Yu Qiang
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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