Title
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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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- 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.