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Neural, Novel & Hybrid Algorithms for Time Series Prediction
by Masters, Timothy | PB | VeryGood
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“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ”... Read moreabout condition
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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
- Publication Year
- 1995
- Type
- Textbook
- Format
- Book, Trade Paperback, Paperback
- Language
- English
- Publication Name
- Neural, Novel and Hybrid Algorithms for Time Series Prediction
- Item Height
- 1.2in
- Item Length
- 9.8in
- Publisher
- Wiley & Sons, Incorporated, John
- Item Width
- 7.4in
- Item Weight
- 34 Oz
- 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
Publication Name
Neural, Novel and Hybrid Algorithms for Time Series Prediction
Format
Book, Trade Paperback, Paperback
Language
English
Publication Year
1995
Type
Textbook
Number of Pages
544 Pages
Dimensions
Item Length
9.8in
Item Height
1.2in
Item Width
7.4in
Item Weight
34 Oz
Additional Product Features
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
Topic
Probability & Statistics / General, Neural Networks, Algebra / General
Lccn
95-031203
Dewey Decimal
519.5/5
Intended Audience
Trade
Dewey Edition
20
Illustrated
Yes
Genre
Computers, Mathematics
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:195521345816
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