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Neural, Novel & Hybrid Algorithms for Time Series Prediction

by Masters, Timothy | PB | VeryGood
Condition:
Very Good
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ... Read moreabout condition
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Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ...
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
Author
Timothy Masters
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
Author
Timothy Masters
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

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