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Published by John Wiley & Sons Inc, 2025
ISBN 10: 1394270771 ISBN 13: 9781394270774
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Hardcover. Condition: new. Hardcover. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketHardback. Condition: New. 1st. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with QandA review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.
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Add to basketHardback. Condition: New. 1st. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with QandA review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.
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ISBN 10: 1394270771 ISBN 13: 9781394270774
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Buch. Condition: Neu. Artificial Intelligence for Power Electronics | Ahteshamul Haque (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | John Wiley & Sons Inc | EAN 9781394270774 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Published by LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659638498 ISBN 13: 9783659638497
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Masood NosheenDr Nosheen Masood have been working on cancer genetics for the past 6 years. She had found many novel m utations in different genes. Prof Azra Yasmin have number of publications which provide a clear picture of her gras.
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Hardcover. Condition: new. Hardcover. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by John Wiley & Sons Inc, 2025
ISBN 10: 1394270771 ISBN 13: 9781394270774
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Hardcover. Condition: new. Hardcover. Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI and power electronics, and the challenges the field faces in design to production, with the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in this book include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning modelsTechniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of dataOptimization techniques such as Particle Swarm Optimization and Ant Colony OptimizationDetection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behaviorEssential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.