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Neural Network Time Series: Forecasting of Financial Markets - Hardcover - GOOD

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Brand
Unbranded
Book Title
Neural Network Time Series: Forecasting of Financial Markets
MPN
Does not apply
ISBN
9780471943563
Subject Area
Mathematics, Computers, Business & Economics
Publication Name
Neural Network Time Series of
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.4 in
Subject
Investments & Securities / Futures, Neural Networks, Probability & Statistics / Time Series, Investments & Securities / General
Publication Year
1994
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.7 in
Author
Eitan M. Azoff
Item Weight
17 Oz
Item Width
6.2 in
Number of Pages
212 Pages

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471943568
ISBN-13
9780471943563
eBay Product ID (ePID)
202279

Product Key Features

Number of Pages
212 Pages
Language
English
Publication Name
Neural Network Time Series of
Subject
Investments & Securities / Futures, Neural Networks, Probability & Statistics / Time Series, Investments & Securities / General
Publication Year
1994
Type
Textbook
Author
Eitan M. Azoff
Subject Area
Mathematics, Computers, Business & Economics
Format
Hardcover

Dimensions

Item Height
0.7 in
Item Weight
17 Oz
Item Length
9.4 in
Item Width
6.2 in

Additional Product Features

Intended Audience
Trade
LCCN
93-042336
Dewey Edition
20
Illustrated
Yes
Dewey Decimal
332.64/5
Table Of Content
The Multilayer Perceptron: A Tutorial.The Preprocessing Stage.Designing the Neural Network.Random Time Series and Market Prices.Benchmarks.Futures Forecasts Implementation.Further Reading and Information.Appendices.Bibliography.Index.
Synopsis
Neural Network Time Series Forecasting of Financial Markets E. Michael Azoff The first comprehensive and practical introduction to using neural networks in financial time series forecasting. This practical working guide shows you how to understand, design and profitably use neural network techniques in financial market forecasting. It encompasses: A tutorial introduction to neural networksData preprocessingKey network design issuesRandom walk probability theoryFully specified benchmarks (and code for implementing the benchmarks as pre-trained networks)An overview of futures tradingDiscussion of trading systems and risk managementThe book focuses on the multilayer perception, one of the most powerful and successful network architectures that is used in the majority of commercial applications, especially financial time series forecasting. The fully specified benchmarks are a unique feature of the book and will be of particular benefit if you are contemplating designing your own neural network using one of the many commercial simulators., Neural Network Time Series Forecasting of Financial Markets E. Michael Azoff The first comprehensive and practical introduction to using neural networks in financial time series forecasting. This practical working guide shows you how to understand, design and profitably use neural network techniques in financial market forecasting. It encompasses: A tutorial introduction to neural networks Data preprocessing Key network design issues Random walk probability theory Fully specified benchmarks (and code for implementing the benchmarks as pre-trained networks) An overview of futures trading Discussion of trading systems and risk management The book focuses on the multilayer perception, one of the most powerful and successful network architectures that is used in the majority of commercial applications, especially financial time series forecasting. The fully specified benchmarks are a unique feature of the book and will be of particular benefit if you are contemplating designing your own neural network using one of the many commercial simulators.
LC Classification Number
HG6024.A3A96 1994

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