Computational Intelligence

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Computational Intelligence

Theoretical Advances and Advanced Applications

Edited by: Dinesh C.S. Bisht and Mangey Ram

Volume 3 in the series De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

https://doi.org/10.1515/9783110671353

Overview
Contents

About this book

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.

Author information

Dinesh C.S. Bisht, Noida, India. Mangey Ram, Dehradun, India.

Topics

Applied Mathematics
Artificial Intelligence
Business Informatics
Business Intelligence
Business Management
Business and Economics
Computer Sciences
Electrical Engineering
Engineering
Information Technology
Mathematics

Frontmatter Accessible Download PDF	I
Acknowledgments Accessible Download PDF	V
Preface Accessible Download PDF	VII
About the Editors Accessible Download PDF	IX
Contents Accessible Download PDF	XI
List of contributing authors Accessible Download PDF	XIII
Part I: Theoretical advances
1. Nature-inspired optimization algorithm and benchmark functions: a literature survey Manoj Kumar Naik, Aneesh Wunnava, Bibekananda Jena and Rutuparna Panda Requires Authentication Accessible Download PDF	1
2. Genetic algorithm: a metaheuristic approach of optimization Gunjan Goyal, Pankaj Kumar Srivastava and Dinesh C. S. Bisht Requires Authentication Accessible Download PDF	27
3. Ant colony optimization and reinforcement learning J. Michael Herrmann, Adam Price and Thomas Joyce Requires Authentication Accessible Download PDF	45
4. Fuzzy informative evidence theory and application in the project selection problem Tanmoy Som, Tuli Bakshi and Arindam Sinharay Requires Authentication Accessible Download PDF	63
5. The fuzzy model for determining criteria weights based on level construction Mališa R. Žižović and Dragan Pamučar Requires Authentication Accessible Download PDF	77
6. Fuzzy transportation problems and variants Pankaj Kumar Srivastava, Divya Chhibber and Dinesh C. S. Bisht Requires Authentication Accessible Download PDF	91
7. Hesitant fuzzy sets: distance, similarity and entropy measures B. Farhadinia Requires Authentication Accessible Download PDF	111
8. A prediction MapReduce-based TLBO-FLANN model for angiographic disease status value Manal Zettam, Jalal Laassiri and Nourddine Enneya Requires Authentication Accessible Download PDF	119
Part II: Advanced applications
9. Analysis of credit card fraud detection using fuzzy rough and intuitionistic fuzzy rough feature selection techniques Tanmoy Som, Pankhuri Jain and Anoop Kumar Tiwari Requires Authentication Accessible Download PDF	135
10. Evaluating single- and multi-headed neural architectures for time-series forecasting of healthcare expenditures Shruti Kaushik, Abhinav Choudhury, Varun Dutt, Nataraj Dasgupta, Sayee Natarajan and Larry A. Pickett Requires Authentication Accessible Download PDF	159
11. Optimization of oily wastewater treatment process using a neuro-fuzzy adaptive model Ankita Mazumder, Chiranjib Bhattacharjee and Dwaipayan Sen Requires Authentication Accessible Download PDF	177
12. Deep learning based food image classification M. Mary Shanthi Rani and P. Shanmugavadivu Requires Authentication Accessible Download PDF	197
13. Particle swarm optimization and differential evolution algorithms: application to solar photovoltaic cells Vandana Khanna, B. K. Das and Dinesh Bisht Requires Authentication Accessible Download PDF	209
14. Multilevel thresholding using crow search optimization for medical images S. N. Kumar, A. Lenin Fred, Ajay H. Kumar, Parasuraman Padmanabhan and Balazs Gulyas Requires Authentication Accessible Download PDF	231
Index Requires Authentication Accessible Download PDF	259

(Deutsch)

Book Computational Intelligence

Dinesh C.S. Bisht, Mangey Ram 2020

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Bisht, Dinesh C.S. and Ram, Mangey. Computational Intelligence: Theoretical Advances and Advanced Applications, Berlin, Boston: De Gruyter, 2020. https://doi.org/10.1515/9783110671353

Bisht, D. & Ram, M. (2020). Computational Intelligence: Theoretical Advances and Advanced Applications. Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110671353

Bisht, D. and Ram, M. 2020. Computational Intelligence: Theoretical Advances and Advanced Applications. Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110671353

Bisht, Dinesh C.S. and Ram, Mangey. Computational Intelligence: Theoretical Advances and Advanced Applications. Berlin, Boston: De Gruyter, 2020. https://doi.org/10.1515/9783110671353

Bisht D, Ram M. Computational Intelligence: Theoretical Advances and Advanced Applications. Berlin, Boston: De Gruyter; 2020. https://doi.org/10.1515/9783110671353

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PDF
EPUB

Language: English
Publisher: De Gruyter
Audience: academic and industrial researchers and professionals
Pages
- Front matter: 16
- Main content: 264
Illustrations
- Illustrations: 30
- Coloured Illustrations: 32
- Tables: 48
Keywords: Automatisierungstechnik; Fuzzy Logik; Neuronale Netze

eBook

Published: August 10, 2020
ISBN: 9783110671353

Hardcover

Published: August 10, 2020
ISBN: 9783110655247