Description: Adaptive Learning of Polynomial Networks by Nikolay Nikolaev, Hitoshi Iba Estimated delivery 3-12 business days Format Paperback Condition Brand New Description The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib ution. Publisher Description This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when addressing tasks from various areas like system identification, chaotic time-series prediction, financial forecasting and data mining. The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib ution. When the learning process is organized according to these steps, performed together one after the other or separately, one may expect to discover models that generalize well (that is, predict well). The book offers statisticians a shift in focus from the standard f- ear models toward highly nonlinear models that can be found by con temporary learning approaches. Speciafists in statistical learning will read about alternative probabilistic search algorithms that discover the model architecture, and neural network training techniques that identify accurate polynomial weights. They wfil be pleased to find out that the discovered models can be easily interpreted, and these models assume statistical diagnosis by standard statistical means. Covering the three fields of: evolutionary computation, neural net works and Bayesian inference, orients the book to a large audience of researchers and practitioners. Author Biography Marina Anderson is the pseudonym of a British author. Her novels have sold over half a million copies worldwide and she is a Sunday Times bestseller. Learn more at: MargaretBingley.co.uk Twitter, @MarinasSecrets Facebook.com/MeetMarinaAnderson Details ISBN 144194060X ISBN-13 9781441940605 Title Adaptive Learning of Polynomial Networks Author Nikolay Nikolaev, Hitoshi Iba Format Paperback Year 2011 Pages 316 Edition 1st Publisher Springer-Verlag New York Inc. GE_Item_ID:144240261; 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: 189.14 USD
Location: Fairfield, Ohio
End Time: 2024-12-25T03:12:02.000Z
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ISBN-13: 9781441940605
Book Title: Adaptive Learning of Polynomial Networks
Number of Pages: Xiv, 316 Pages
Publication Name: Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods
Language: English
Publisher: Springer
Subject: Programming / Algorithms, Intelligence (Ai) & Semantics, Computer Science, Neural Networks, Algebra / General, Probability & Statistics / Bayesian Analysis
Publication Year: 2011
Item Weight: 18 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Author: Nikolay Nikolaev, Hitoshi Iba
Series: Genetic and Evolutionary Computation Ser.
Item Width: 6.1 in
Format: Trade Paperback
