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Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Appl

Description: Artificial Intelligence Systems Based on Hybrid Neural Networks by Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko Estimated delivery 3-12 business days Format Paperback Condition Brand New Description It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Publisher Description This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms. Details ISBN 3030484556 ISBN-13 9783030484552 Title Artificial Intelligence Systems Based on Hybrid Neural Networks Author Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko Format Paperback Year 2021 Pages 512 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:140541532; 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: 197.52 USD

Location: Fairfield, Ohio

End Time: 2024-11-25T03:06:34.000Z

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Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Appl

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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: 9783030484552

Book Title: Artificial Intelligence Systems Based on Hybrid Neural Networks

Number of Pages: Xv, 512 Pages

Publication Name: Artificial Intelligence Systems Based on Hybrid Neural Networks : Theory and Applications

Language: English

Publisher: Springer International Publishing A&G

Publication Year: 2021

Subject: Engineering (General), Intelligence (Ai) & Semantics

Item Weight: 28.3 Oz

Type: Textbook

Author: Elena Chumachenko, Victor Sineglazov, Michael Zgurovsky

Item Length: 9.3 in

Subject Area: Computers, Technology & Engineering

Item Width: 6.1 in

Series: Studies in Computational Intelligence Ser.

Format: Trade Paperback

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