Description: Competitively Inhibited Neural Networks for Adaptive Parameter Estimation by Michael Lemmon Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. There is "good news" and "bad news" associated with theoretical research in neural networks. Publisher Description Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiricism is, of course, essential to any science for it provides a body of observations allowing initial characterization of the field. Eventually, however, any maturing field must begin the process of validating empirically derived conjectures with rigorous mathematical models. It is in this way that science has always pro ceeded. It is in this way that science provides conclusions that can be used across a variety of applications. This monograph by Michael Lemmon provides just such a theoretical exploration of the role ofcompetition in Artificial Neural Networks. There is "good news" and "bad news" associated with theoretical research in neural networks. The bad news isthat such work usually requires the understanding of and bringing together of results from many seemingly disparate disciplines such as neurobiology, cognitive psychology, theory of differential equations, largc scale systems theory, computer science, and electrical engineering. The good news is that for those capable of making this synthesis, the rewards are rich as exemplified in this monograph. Details ISBN 146136809X ISBN-13 9781461368090 Title Competitively Inhibited Neural Networks for Adaptive Parameter Estimation Author Michael Lemmon Format Paperback Year 2012 Pages 142 Edition 90199th Publisher Springer-Verlag New York Inc. GE_Item_ID:151477068; 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: 125.44 USD
Location: Fairfield, Ohio
End Time: 2025-01-27T03:40:32.000Z
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ISBN-13: 9781461368090
Book Title: Competitively Inhibited Neural Networks for Adaptive Parameter Es
Number of Pages: Xiii, 142 Pages
Language: English
Publication Name: Competitively Inhibited Neural Networks for Adaptive Parameter Estimation
Publisher: Springer
Publication Year: 2012
Subject: Intelligence (Ai) & Semantics, Computer Science
Item Weight: 9 Oz
Type: Textbook
Author: Michael Lemmon
Subject Area: Computers
Item Length: 9.3 in
Item Width: 6.1 in
Series: The Springer International Series in Engineering and Computer Science Ser.
Format: Trade Paperback
