Description: Principal Component Neural Networks by K.I. Diamantaras, S.Y. Kung Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Publisher Description Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Using a unified formulation, the authors present neural models performing PCA from the Hebbian learning rule and those which use least squares learning rules such as back-propagation. Examines the principles of biological perceptual systems to explain how the brain works. Every chapter contains a selected list of applications examples from diverse areas. Author Biography K. I. Diamantaras is a research scientist at Aristotle University in Thessaloniki, Greece. He received his PhD from Princeton University and was formerly a research scientist for Siemans Corporate Research. S. Y. Kung is Professor of Electrical Engineering at Princeton University and received his PhD from Stanford University. He was formerly a professor of electrical engineering at the University of Southern California. Details ISBN 0471054364 ISBN-13 9780471054368 Title Principal Component Neural Networks Author K.I. Diamantaras, S.Y. Kung Format Hardcover Year 1996 Pages 272 Edition 1st Publisher John Wiley & Sons Inc GE_Item_ID:7521185; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 216.47 USD
Location: Fairfield, Ohio
End Time: 2024-12-03T03:10:56.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9780471054368
Book Title: Principal Component Neural Networks
Number of Pages: 272 Pages
Language: English
Publication Name: Principal Component Neural Networks : Theory and Applications
Publisher: Wiley & Sons, Incorporated, John
Item Height: 0.8 in
Publication Year: 1996
Subject: Intelligence (Ai) & Semantics, Neural Networks
Item Weight: 20 Oz
Type: Textbook
Item Length: 9.5 in
Author: S. Y. Kung, K. I. Diamantaras
Subject Area: Computers
Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Ser.
Item Width: 6.3 in
Format: Hardcover
