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Computational intelligence : engineering of hybrid systems

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Cover of 'Computational intelligence : engineering of hybrid systems'

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Techniques and Computational Intelligence
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    Chapter 2 Neuro-Fuzzy Based Hybrid Intelligent Systems for Fault Diagnosis
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    Chapter 3 Neuro-Fuzzy Integration in Hybrid Intelligent Systems
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    Chapter 4 Fuzzy Rules Extraction from Connectionist Structures
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    Chapter 5 Integration of Explicit and Implicit Knowledge in Hybrid Intelligent Systems
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    Chapter 6 Practical Implementation Aspects Regarding Real-World Application of Hybrid Intelligent Systems
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    Chapter 7 New Trends of Developing Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization
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    Chapter 8 Genetic Algorithms Based Hybrid Intelligent Systems
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Mentioned by

syllabi
2 institutions with syllabi

Citations

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16 Dimensions

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5 Mendeley
Summary Syllabi Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in 3 syllabi from 2 institutions on Open Syllabus Project.

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