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Classification and Modeling with Linguistic Information Granules : Advanced Approaches to Linguistic Data Mining
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Linguistic Information Granules
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Chapter 2
Pattern Classification with Linguistic Rules
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Chapter 3
Learning of Linguistic Rules
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Chapter 4
Input Selection and Rule Selection
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Chapter 5
Genetics-Based Machine Learning
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Chapter 6
Multi-Objective Design of Linguistic Models
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Chapter 7
Comparison of Linguistic Discretization with Interval Discretization
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Chapter 8
Modeling with Linguistic Rules
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Chapter 9
Design of Compact Linguistic Models
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Chapter 10
Linguistic Rules with Consequent Real Numbers
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Chapter 11
Handling of Linguistic Rules in Neural Networks
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Chapter 12
Learning of Neural Networks from Linguistic Rules
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Chapter 13
Linguistic Rule Extraction from Neural Networks
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Chapter 14
Modeling of Fuzzy Input—Output Relations
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
145
Dimensions
Readers on
mendeley
24
Mendeley
Book overview
1. Linguistic Information Granules
2. Pattern Classification with Linguistic Rules
3. Learning of Linguistic Rules
4. Input Selection and Rule Selection
5. Genetics-Based Machine Learning
6. Multi-Objective Design of Linguistic Models
7. Comparison of Linguistic Discretization with Interval Discretization
8. Modeling with Linguistic Rules
9. Design of Compact Linguistic Models
10. Linguistic Rules with Consequent Real Numbers
11. Handling of Linguistic Rules in Neural Networks
12. Learning of Neural Networks from Linguistic Rules
13. Linguistic Rule Extraction from Neural Networks
14. Modeling of Fuzzy Input—Output Relations
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
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So far, Altmetric has seen this research output assigned in
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syllabus from an institution on Open Syllabus Project.
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Course subject areas covered
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1
Business, Engineering, Biology, History, Law