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Regularized Radial Basis Function Networks: Theory and Applications,New
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Simon Haykin is a wellknown author of books on neural networks.* An authoritative book dealing with cutting edge technology.* This book has no competition.
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- Q: What is the main focus of 'Regularized Radial Basis Function Networks'? A: The book primarily focuses on the theory and applications of regularized radial basis function networks, providing an authoritative resource for understanding this cutting-edge technology in neural networks.
- Q: Who is the author of this book? A: The author of 'Regularized Radial Basis Function Networks: Theory and Applications' is Paul V. Yee, who is recognized for his expertise in the field.
- Q: How many pages does this book contain? A: The book contains 208 pages, offering a comprehensive exploration of its subject matter.
- Q: What type of binding does this book have? A: This book is bound in hardcover, providing durability and a professional appearance.
- Q: In what year was this book published? A: The book was published on April 2, 2001.
- Q: Is this book suitable for beginners in neural networks? A: While the book is authoritative, it may be more suitable for readers with a foundational understanding of neural networks due to its advanced topics.
- Q: Does this book include practical applications? A: Yes, the book covers both theoretical aspects and practical applications of radial basis function networks.
- Q: Is this book considered a competitive resource in its field? A: According to the description, this book has no competition, suggesting it is a unique and essential resource for those interested in the topic.
- Q: What condition is the book available in? A: The book is available in new condition, ensuring that it is in pristine shape for readers.
- Q: What is the edition of this book? A: This book is the first edition, offering the latest insights and developments in the field at the time of its publication.