Wavelet Neural Networks

Released on by Antonios K. Alexandridis
preview-18

  • Wavelet Neural Networks Book Detail

  • Author : Antonios K. Alexandridis
  • Release Date : 2014-04-24
  • Publisher : John Wiley & Sons
  • Genre : Mathematics
  • Pages : 262
  • ISBN 13 : 1118596293
  • File Size : 67,67 MB
DOWNLOAD BOOK

Wavelet Neural Networks by Antonios K. Alexandridis PDF Summary

Book Description: A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the statistical model identification framework that is needed to successfully apply wavelet networks as well as extensive comparisons of alternate methods. Providing a concise and rigorous treatment for constructing optimal wavelet networks, the book links mathematical aspects of wavelet network construction to statistical modeling and forecasting applications in areas such as finance, chaos, and classification. The authors ensure that readers obtain a complete understanding of model identification by providing in-depth coverage of both model selection and variable significance testing. Featuring an accessible approach with introductory coverage of the basic principles of wavelet analysis, Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification also includes: • Methods that can be easily implemented or adapted by researchers, academics, and professionals in identification and modeling for complex nonlinear systems and artificial intelligence • Multiple examples and thoroughly explained procedures with numerous applications ranging from financial modeling and financial engineering, time series prediction and construction of confidence and prediction intervals, and classification and chaotic time series prediction • An extensive introduction to neural networks that begins with regression models and builds to more complex frameworks • Coverage of both the variable selection algorithm and the model selection algorithm for wavelet networks in addition to methods for constructing confidence and prediction intervals Ideal as a textbook for MBA and graduate-level courses in applied neural network modeling, artificial intelligence, advanced data analysis, time series, and forecasting in financial engineering, the book is also useful as a supplement for courses in informatics, identification and modeling for complex nonlinear systems, and computational finance. In addition, the book serves as a valuable reference for researchers and practitioners in the fields of mathematical modeling, engineering, artificial intelligence, decision science, neural networks, and finance and economics.

Disclaimer: www.yourbookbest.com does not own Wavelet Neural Networks books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Wavelet Neural Networks

Wavelet Neural Networks

File Size : 1,1 MB
Total View : 4259 Views
DOWNLOAD

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, C

Wavelet Neural Networks

Wavelet Neural Networks

File Size : 83,83 MB
Total View : 7417 Views
DOWNLOAD

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, C

Weather Derivatives

Weather Derivatives

File Size : 38,38 MB
Total View : 3183 Views
DOWNLOAD

​Weather derivatives are financial instruments that can be used by organizations or individuals as part of a risk management strategy to minimize risk associa

Through the Breach

Through the Breach

File Size : 9,9 MB
Total View : 1139 Views
DOWNLOAD

Their mission is called the Venus Asteroid Expedition, but it has little to do with legitimate trade. General Commander Piet Ricimer and Stephen Gregg are leadi