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Computational intelligence : theoretical advances and advanced applications / Dinesh C. S. Bisht, Mangey Ram.

De Gruyter DG Plus DeG Package 2020 Part 1 Available online

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Format:
Book
Contributor:
Ram, Mangey, editor.
Bisht, Dinesh C.S, editor.
Series:
De Gruyter series on the applications of mathematics in engineering and information sciences ; v. 3.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ; 3
Language:
English
Subjects (All):
Computational intelligence.
Physical Description:
1 online resource (XVI, 264 p.)
Place of Publication:
Berlin, Germany ; Boston, Massachusetts : Walter de Gruyter GmbH, [2020]
Language Note:
In English.
Summary:
Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.
Contents:
Frontmatter
Acknowledgments
Preface
About the Editors
Contents
List of contributing authors
1. Nature-inspired optimization algorithm and benchmark functions: a literature survey
2. Genetic algorithm: a metaheuristic approach of optimization
3. Ant colony optimization and reinforcement learning
4. Fuzzy informative evidence theory and application in the project selection problem
5. The fuzzy model for determining criteria weights based on level construction
6. Fuzzy transportation problems and variants
7. Hesitant fuzzy sets: distance, similarity and entropy measures
8. A prediction MapReduce-based TLBO-FLANN model for angiographic disease status value
9. Analysis of credit card fraud detection using fuzzy rough and intuitionistic fuzzy rough feature selection techniques
10. Evaluating single- and multi-headed neural architectures for time-series forecasting of healthcare expenditures
11. Optimization of oily wastewater treatment process using a neuro-fuzzy adaptive model
12. Deep learning based food image classification
13. Particle swarm optimization and differential evolution algorithms: application to solar photovoltaic cells
14. Multilevel thresholding using crow search optimization for medical images
Index
Notes:
Description based on print version record.
Includes index.
ISBN:
9783110668339
3110668335
9783110671353
3110671352
OCLC:
1191864117

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