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物品 #:
156040879
Power Electronics and Power Systems Automatic Learning Techniques in Power Systems, (Hardcover)
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物品 #:
156040879
HKD 1402
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What Stands Out
Automatic Learning Techniques
Integrates advanced automatic learning methods to optimize power systems, enhancing efficiency and reliability compared to traditional approaches.
Comprehensive Coverage
Offers in-depth exploration of power electronics and systems, making it a valuable resource for both students and professionals seeking expertise in modern energy solutions.
Hardcover Format
Durable hardcover design ensures longevity and resilience, making it an ideal addition to any technical library or study space for lasting reference.
產品詳情
- Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology. Its applications to engineering problems, such as those encountered in electrical power systems, are therefore challenging, while extremely promising. More and more data have become available, collected from the field by systematic archiving, or generated through computer-based simulation. To handle this explosion of data, automatic learning can be used to provide systematic approaches, without which the increasing data amounts and computer power would be of little use. Automatic Learning Techniques in Power Systems is dedicated to the practical application of automatic learning to power systems. Power systems to which automatic learning can be applied are screened and the complementary aspects of automatic learning, with respect to analytical methods and numerical simulation, are investigated. This book presents a representative subset of automatic learning methods - basic and more sophisticated ones - available from statistics (both classical and modern), and from artificial intelligence (both hard and soft computing). The text also discusses appropriate methodologies for combining these methods to make the best use of available data in the context of real-life problems. Automatic Learning Techniques in Power Systems is a useful reference source for professionals and researchers developing automatic learning systems in the electrical power field.
| Publication date | November, 1997 |
| Author | Louis A Wehenkel |
| Book format | Hardcover |
| Genre | Computing & Internet |
| Pages | 280 |
| Age group | Adult |
| Binding type | Case Binding |
| Series title | Power Electronics and Power Systems |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Springer Us |
| Educational level | General |
| Subgenre | Electrical |
| Original languages | English |
| Edu focus | Engineering |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Technology & Engineering |
| Edition | 1998 Edition |
| Language | English |
| Pub date | 1997-11-30 |
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
-
Engineering Students
Ideal for engineering students specializing in power electronics, providing essential knowledge on automated systems and learning techniques.
-
Industry Professionals
Beneficial for professionals in the power industry looking to enhance their expertise in modern power systems and technologies.
-
Researchers
Useful for researchers focused on developing innovative solutions in power electronics and automated learning methodologies.
-
General Audience
Not suitable for casual readers without a background in electronics or power systems due to its technical nature.
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HKD 1402
現在訂購，約可在下列時間收貨： 星期六, 十一月 14
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