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Neural, Novel & Hybrid Algorithms for Time Series Prediction
by Masters, Timothy | PB | VeryGood
US $5.62
ApproximatelyAU $8.47
Condition:
“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ”... Read moreabout condition
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Estimated between Thu, 27 Jun and Mon, 1 Jul to 43230
Located in: Aurora, Illinois, United States
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eBay item number:195521345816
Item specifics
- Condition
- Very good
- Seller notes
- Binding
- Paperback
- Weight
- 2 lbs
- Product Group
- Book
- IsTextBook
- Yes
- ISBN
- 9780471130413
- Subject Area
- Computers, Mathematics
- Publication Name
- Neural, Novel and Hybrid Algorithms for Time Series Prediction
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 9.8 in
- Subject
- Probability & Statistics / General, Neural Networks, Algebra / General
- Publication Year
- 1995
- Type
- Textbook
- Format
- Book, Trade Paperback, Paperback
- Language
- English
- Item Height
- 1.2 in
- Item Weight
- 34 Oz
- Item Width
- 7.4 in
- Number of Pages
- 544 Pages
About this product
Product Information
An authoritative guide to predicting the future using neural, novel, and hybrid algorithms Expert Timothy Masters provides you with carefully paced, step-by-step advice and guidance plus the proven tools and techniques you need to develop successful applications for business forecasting, stock market prediction, engineering process control, economic cycle tracking, marketing analysis, and more. Neural, Novel & Hybrid Algorithms for Time Series Prediction provides information on: Robust confidence intervals for predictions made with neural, ARIMA, and other models Wavelets for detecting features that presage important events Multivariate ARMA models for simultaneous prediction of multiple series based on multiple inputs and shocks Hybrid ARMA/neural models to improve the accuracy of predictions Data reduction and orthogonalization using principal components and related operations Digital filters for preprocessing to enhance useful information and suppress noise Diagnostic tools such as the maximum entropy spectrum and Savitzky-Golay filters for suggesting and validating prediction models Effective preprocessing techniques for prediction with neural networks CD-ROM INCLUDES: PREDICT-both DOS and Windows NT versions-a powerful time series program that can be easily customized to make accurate predictions in any application area Much useful source code, including the complex-general multivariate fast Fourier transform in both C++ and Pentium-optimized assembler
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471130419
ISBN-13
9780471130413
eBay Product ID (ePID)
705457
Product Key Features
Number of Pages
544 Pages
Language
English
Publication Name
Neural, Novel and Hybrid Algorithms for Time Series Prediction
Publication Year
1995
Subject
Probability & Statistics / General, Neural Networks, Algebra / General
Type
Textbook
Subject Area
Computers, Mathematics
Format
Book, Trade Paperback, Paperback
Dimensions
Item Height
1.2 in
Item Weight
34 Oz
Item Length
9.8 in
Item Width
7.4 in
Additional Product Features
Intended Audience
Trade
LCCN
95-031203
Dewey Edition
20
Illustrated
Yes
Dewey Decimal
519.5/5
Lc Classification Number
Qa76.87.M369 1995
Table of Content
Preprocessing.Subduing Seasonal Components.Frequency-Domain Techniques I: Introduction.Frequency-Domain Techniques II: Filters and Features.Wavelet and QMF Features.Box-Jenkins ARMA Models.Differencing.Robust Confidence Intervals.Numerical and Statistical Tools.Neural Network Tools.Using the NPREDICT Program.Appendices.Bibliography.Index.
Copyright Date
1995
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:195521345816
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Item location:
Aurora, Illinois, United States
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| Postage and handling | Each additional item | To | Service | Delivery*See delivery notes |
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