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Computational Intelligence in Economics and Finance

Overview of attention for book
Cover of 'Computational Intelligence in Economics and Finance'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Intelligence in Economics and Finance: Shifting the Research Frontier
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    Chapter 2 An Overview of Insurance Uses of Fuzzy Logic
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    Chapter 3 Forecasting Agricultural Commodity Prices using Hybrid Neural Networks
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    Chapter 4 Nonlinear Principal Component Analysis for Withdrawal from the Employment Time Guarantee Fund
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    Chapter 5 Estimating Female Labor Force Participation through Statistical and Machine Learning Methods: A Comparison
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    Chapter 6 An Application of Kohonen’s SOFM to the Management of Benchmarking Policies
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    Chapter 7 Trading Strategies Based on K-means Clustering and Regression Models
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    Chapter 8 Comparison of Instance-Based Techniques for Learning to Predict Changes in Stock Prices
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    Chapter 9 Application of an Instance Based Learning Algorithm for Predicting the Stock Market Index
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    Chapter 10 Evaluating the Efficiency of Index Fund Selections Over the Fund’s Future Period
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    Chapter 11 Failure of Genetic-Programming Induced Trading Strategies: Distinguishing between Efficient Markets and Inefficient Algorithms
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    Chapter 12 Nonlinear Goal-Directed CPPI Strategy
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    Chapter 13 Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach
Attention for Chapter 13: Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach
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Citations

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Chapter title
Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach
Chapter number 13
Book title
Computational Intelligence in Economics and Finance
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-72821-4_13
Book ISBNs
978-3-54-072820-7, 978-3-54-072821-4
Authors

Ana Marostica, Cesar A. Briano, Ernesto Chinkes, Marostica, Ana, Briano, Cesar A., Chinkes, Ernesto

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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