TY  - BOOK
AU  - Bakshi,Tuli
AU  - Bhattacharjee,Chiranjib
AU  - Bisht,Dinesh
AU  - Bisht,Dinesh C.S.
AU  - Bisht,Dinesh C.S.
AU  - Chhibber,Divya
AU  - Choudhury,Abhinav
AU  - Das,B.K.
AU  - Dasgupta,Nataraj
AU  - Dutt,Varun
AU  - Enneya,Nourddine
AU  - Farhadinia,B.
AU  - Goyal,Gunjan
AU  - Gulyas,Balazs
AU  - Herrmann,J.Michael
AU  - Jain,Pankhuri
AU  - Jena,Bibekananda
AU  - Joyce,Thomas
AU  - Kaushik,Shruti
AU  - Khanna,Vandana
AU  - Kumar Naik,Manoj
AU  - Kumar Srivastava,Pankaj
AU  - Kumar Tiwari,Anoop
AU  - Kumar,Ajay H.
AU  - Kumar,S.N.
AU  - Laassiri,Jalal
AU  - Lenin Fred,A.
AU  - Mazumder,Ankita
AU  - Natarajan,Sayee
AU  - Padmanabhan,Parasuraman
AU  - Pamučar,Dragan
AU  - Panda,Rutuparna
AU  - Pickett,Larry A.
AU  - Price,Adam
AU  - Ram,Mangey
AU  - Sen,Dwaipayan
AU  - Shanmugavadivu,P.
AU  - Shanthi Rani,M.Mary
AU  - Sinharay,Arindam
AU  - Som,Tanmoy
AU  - Wunnava,Aneesh
AU  - Zettam,Manal
AU  - Žižović,Mališa R.
TI  - Computational Intelligence: Theoretical Advances and Advanced Applications 
T2  - De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ,
SN  - 9783110655247
PY  - 2020///]
CY  - Berlin, Boston : 
PB  - De Gruyter, 
KW  - Automatisierungstechnik
KW  - Computational Intelligence
KW  - Fuzzy Logik
KW  - Neuronale Netze
KW  - Technology & Engineering / Automation
KW  - bisacsh
N1  - Frontmatter --; Acknowledgments --; Preface --; About the Editors --; Contents --; List of contributing authors --; Part I: Theoretical advances --; 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 --; Part II: Advanced applications --; 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; restricted access; Issued also in print
N2  - 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
UR  - https://doi.org/10.1515/9783110671353
UR  - https://www.degruyter.com/isbn/9783110671353
UR  - https://www.degruyter.com/document/cover/isbn/9783110671353/original
ER  -