Title
Supervised And Unsupervised Pattern Recognition: Feature Extraction And Computational Intelligence (Industrial Electronics),New
Delivery time: 8-12 business days (International)
There Are Many Books On Neural Networks, Some Of Which Cover Computational Intelligence, But None That Incorporate Both Feature Extraction And Computational Intelligence, As Supervised And Unsupervised Pattern Recognition Does. This Volume Describes The Application Of A Novel, Unsupervised Pattern Recognition Scheme To The Classification Of Various Types Of Waveforms And Images.This Substantial Collection Of Recent Research Begins With An Introduction To Neural Networks, Classifiers, And Feature Extraction Methods. It Then Addresses Unsupervised And Fuzzy Neural Networks And Their Applications To Handwritten Character Recognition And Recognition Of Normal And Abnormal Visual Evoked Potentials. The Third Section Deals With Advanced Neural Network Architecturesincluding Modular Designand Their Applications To Medicine And Threedimensional Nn Architecture Simulating Brain Functions. The Final Section Discusses General Applications And Simulations, Such As The Establishment Of A Braincomputer Link, Speaker Identification, And Face Recognition.In The Quickly Changing Field Of Computational Intelligence, Every Discovery Is Significant. Supervised And Unsupervised Pattern Recognition Gives You Access To Many Notable Findings In One Convenient Volume.
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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 the book 'Supervised and Unsupervised Pattern Recognition'? A: The book primarily focuses on integrating feature extraction and computational intelligence within supervised and unsupervised pattern recognition methods, particularly for waveforms and image classification.
- Q: Who is the author of this book? A: The author of 'Supervised and Unsupervised Pattern Recognition' is Evangelia Miche Tzanakou.
- Q: What topics are covered in the book? A: The book covers topics such as neural networks, classifiers, feature extraction methods, unsupervised and fuzzy neural networks, advanced neural network architectures, and their applications in various fields including medicine and visual recognition.
- Q: How many pages does this book have? A: The book contains a total of 388 pages.
- Q: What is the condition of the book being sold? A: The book is listed as 'New'.
- Q: What type of binding does this book have? A: This book is available in hardcover binding.
- Q: When was this book published? A: The book was published on December 28, 1999.
- Q: Is this book suitable for beginners in pattern recognition? A: Yes, the book includes an introductory section that covers the basics of neural networks and feature extraction methods, making it suitable for beginners.
- Q: Are there applications discussed for handwritten character recognition? A: Yes, the book discusses applications of unsupervised and fuzzy neural networks specifically for handwritten character recognition.
- Q: What makes this book unique compared to others on neural networks? A: This book uniquely combines both feature extraction and computational intelligence within its discussions, which is not commonly found in other texts on neural networks.