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Handbook of Genetic Programming Applications

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Cover of 'Handbook of Genetic Programming Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Graph-Based Evolutionary Art
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    Chapter 2 Genetic Programming for Modelling of Geotechnical Engineering Systems
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    Chapter 3 Application of Genetic Programming in Hydrology
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    Chapter 4 Application of Gene-Expression Programming in Hydraulic Engineering
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    Chapter 5 Genetic Programming Applications in Chemical Sciences and Engineering
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    Chapter 6 Application of Genetic Programming for Electrical Engineering Predictive Modeling: A Review
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    Chapter 7 Mate Choice in Evolutionary Computation
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    Chapter 8 Handbook of Genetic Programming Applications
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    Chapter 9 Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming
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    Chapter 10 Handbook of Genetic Programming Applications
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    Chapter 11 On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations
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    Chapter 12 Evaluation of Liquefaction Potential of Soil Based on Shear Wave Velocity Using Multi-Gene Genetic Programming
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    Chapter 13 Site Characterization Using GP, MARS and GPR
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    Chapter 14 Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processes in Contaminated Mine Sites
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    Chapter 15 Potential of Genetic Programming in Hydroclimatic Prediction of Droughts: An Indian Perspective
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    Chapter 16 Application of Genetic Programming for Uniaxial and Multiaxial Modeling of Concrete
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    Chapter 17 Genetic Programming for Mining Association Rules in Relational Database Environments
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    Chapter 18 Evolving GP Classifiers for Streaming Data Tasks with Concept Change and Label Budgets: A Benchmarking Study
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    Chapter 19 A New Evolutionary Approach to Geotechnical and Geo-Environmental Modelling
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    Chapter 20 Application of GFA-MLR and G/PLS Techniques in QSAR/QSPR Studies with Application in Medicinal Chemistry and Predictive Toxicology
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    Chapter 21 Trading Volatility Using Highly Accurate Symbolic Regression
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    Chapter 22 GPTIPS 2: An Open-Source Software Platform for Symbolic Data Mining
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    Chapter 23 eCrash : a Genetic Programming-Based Testing Tool for Object-Oriented Software
Attention for Chapter 21: Trading Volatility Using Highly Accurate Symbolic Regression
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Chapter title
Trading Volatility Using Highly Accurate Symbolic Regression
Chapter number 21
Book title
Handbook of Genetic Programming Applications
Published by
Springer International Publishing, November 2015
DOI 10.1007/978-3-319-20883-1_21
Book ISBNs
978-3-31-920882-4, 978-3-31-920883-1
Authors

Michael F. Korns

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Biochemistry, Genetics and Molecular Biology 1 14%
Engineering 1 14%
Unknown 2 29%