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Trading on the Edge: Neural, Genetic and Fuzzy Systems for Chaotic Financial Markets (Wiley Finance)
 
 

Trading on the Edge: Neural, Genetic and Fuzzy Systems for Chaotic Financial Markets (Wiley Finance) (Hardcover)

by Guido J. Deboeck (Editor) "This chapter provides a brief introduction to neural networks and their use for pattern recognition and/or financial time-series prediction; it also offers guidance on how..." (more)
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Product details

  • Hardcover: 416 pages
  • Publisher: John Wiley & Sons (20 May 1994)
  • Language English
  • ISBN-10: 0471311006
  • ISBN-13: 978-0471311003
  • Product Dimensions: 23.1 x 14.5 x 3.3 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 777,835 in Books (See Bestsellers in Books)

    Popular in these categories:

    #66 in  Books > Computing & Internet > Computer Science > Algorithms > Fuzzy Logic
    #74 in  Books > Computing & Internet > Computer Science > Algorithms > Genetic
  • See Complete Table of Contents

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Product Description

Product Description

Experts from the world′s major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered.

Inside This Book (Learn More)
First Sentence
This chapter provides a brief introduction to neural networks and their use for pattern recognition and/or financial time-series prediction; it also offers guidance on how to successfully develop financial applications of neural nets. Read the first page
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5 of 5 people found the following review helpful:
4.0 out of 5 stars Covers a lot., 27 Jun 1999
By A Customer
Discusses financial applications of neural networks, genetic algorithms and fuzzy logic. Is aimed at the beginner to intermediate level. Focuses more on data processing and application than on the actual building of neural nets. Several useful examples are given. Sections are written by experts in that particular field. This is usually advantageous except ocassionally where terminology may not always be consistent between sections. Overall a good book if you know how to write your own NN/GA/FUZZY program or have access to one.
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