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Neural Network Data Analysis Using Simulnet by Edward J. Rzempoluck (English) Pa

Description: Neural Network Data Analysis Using Simulnet by Edward J. Rzempoluck Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeri­ cal data using neural networks. Neural networks as data analytic tools allow data to be analyzed in order to discover and model the functional relationships among the recorded variables. Publisher Description Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeri­ cal data using neural networks. Neural networks as data analytic tools allow data to be analyzed in order to discover and model the functional relationships among the recorded variables. Such data may be empirical. It may originate in an experiment in which the values of one or more dependent variables are recorded as one or more independent vari­ ables are manipulated. Alternatively, the data may be observational rather than empirical in nature, representing historical records of the behavior of some set of variables. An ex­ ample would be the values of a number of financial commodities, such as stocks or bonds. Finally, the data may originate in a computational model of some physical proc­ ess. Instead of recording variables of the physical process, the computer model could be run to generate an artificial analog of the physical data. Since data in virtually any native form can be expressed in numerical format, the scope of the analytical techniques and procedures that will be presented in this text is es­ sentially unlimited. Sources of data include research work in a range of disciplines as di­ verse as neuroscience, biomedicine, geophysics, psychology, sociology, archeology, eco­ nomics, and astrophysics. An often fruitful approach to data analysis involves the use of neural network func­ tions. Author Biography Rzempoluck-Victoria, BC, Canada Details ISBN 1461272629 ISBN-13 9781461272625 Title Neural Network Data Analysis Using Simulnet Author Edward J. Rzempoluck Format Paperback Year 2013 Pages 226 Edition 97199th Publisher Springer-Verlag New York Inc. GE_Item_ID:137844776; 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: 66.98 USD

Location: Fairfield, Ohio

End Time: 2024-12-19T03:22:03.000Z

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Neural Network Data Analysis Using Simulnet by Edward J. Rzempoluck (English) Pa

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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: 9781461272625

Book Title: Neural Network Data Analysis Using Simulnet

Number of Pages: VIII, 226 Pages

Language: English

Publication Name: Neural Network Data Analysis Using Simulnet (Tm)

Publisher: Springer New York

Publication Year: 2013

Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Numerical Analysis, Neural Networks, Databases / General

Item Weight: 21.2 Oz

Type: Textbook

Subject Area: Mathematics, Computers

Item Length: 11 in

Author: Edward J. Rzempoluck

Item Width: 8.3 in

Format: Trade Paperback

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