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The Fundamentals of Computational Intelligence: System Approach

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Cover of 'The Fundamentals of Computational Intelligence: System Approach'

Table of Contents

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    Book Overview
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    Chapter 1 Neural Networks
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    Chapter 2 Neural Networks with Feedback and Self-organization
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    Chapter 3 Fuzzy Inference Systems and Fuzzy Neural Networks
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    Chapter 4 Application of Fuzzy Logic Systems and Fuzzy Neural Networks in Forecasting Problems in Macroeconomy and Finance
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    Chapter 5 Fuzzy Neural Networks in Classification Problems
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    Chapter 6 Inductive Modeling Method (GMDH) in Problems of Intellectual Data Analysis and Forecasting
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    Chapter 7 The Cluster Analysis in Intellectual Systems
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    Chapter 8 Genetic Algorithms and Evolutionary Programing
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    Chapter 9 Problem of Fuzzy Portfolio Optimization Under Uncertainty and Its Solution with Application of Computational Intelligence Methods
Attention for Chapter 6: Inductive Modeling Method (GMDH) in Problems of Intellectual Data Analysis and Forecasting
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Citations

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Chapter title
Inductive Modeling Method (GMDH) in Problems of Intellectual Data Analysis and Forecasting
Chapter number 6
Book title
The Fundamentals of Computational Intelligence: System Approach
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-35162-9_6
Book ISBNs
978-3-31-935160-5, 978-3-31-935162-9
Authors

Mikhail Z. Zgurovsky, Yuriy P. Zaychenko

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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 %
Student > Master 1 100%
Readers by discipline Count As %
Engineering 1 100%

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