Soft Computing (eBook, PDF)

Engineering Applications
Redaktion: Debnath, Pradip; Tripathy, Binod Chandra

• Format: PDF

Produktbeschreibung

This book examines the latest developments in the area of soft computing with engineering applications. It explores topics such as fuzzy sets, intuitionistic fuzzy sets, unmanned aerial vehicles, soft sets, neutrosophic sets, fractional calculus, big data analytics, and the mathematical foundations of convolutional neural network (CNNs). Soft Computing: Engineering Applications offers readers a comprehensive and in-depth understanding of various cutting-edge technologies that are transforming industries worldwide.

The book explores soft computing techniques in a very systematic manner. It elucidates the concepts, theories, and applications of fuzzy sets, enabling readers to grasp the fundamentals and explore their applications in various fields. It provides new insight into unmanned aerial vehicle applications to fuzzy soft set based decision making. It then discusses new fixed point results in orthogonal neutrosophic generalized metric spaces and explores statistical convergence of triple sequences in a credibility space. The authors then provide readers with a solid grasp of the mathematical underpinnings of CNNs, enabling them to design, train, and optimize neural networks for image recognition, object detection, and other computer vision tasks. The authors also present new studies in fractional calculus and explores advanced visualization algorithms and techniques for big data analytics.

Soft Computing will be useful for beginners and advanced researchers in engineering, applied sciences and healthcare professionals working in soft computing applications.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 370
• Erscheinungstermin: 30. September 2024
• Englisch
• ISBN-13: 9781040098035
• Artikelnr.: 72282604

Autorenporträt

Dr. Pradip Debnath is an Associate Professor in the Department of Mathematical Sciences at Tezpur University, India. He received his Ph.D. in Mathematics from the National Institute of Technology Silchar, India. His research interests include fixed point theory, functional analysis, soft computing and mathematical statistics. Prof. (Dr.) Binod Chandra Tripathy received his M.Sc. and Ph.D. degrees from the Berhampur University, Odisha, India. He is the Director, IQAC, Tripura University since March 2020. His research interests are Fuzzy set theory, Sequences of fuzzy numbers, Summability theory, Sequence space and Series, Sequences of complex uncertain variables, Spectral theory, Multiset topological space, Neutrosophic topological space, Decision making etc.

Inhaltsangabe

Chapter 1
Different types of convergence in fuzzy normed spaces Chapter 2
Exploring statistical convergence of triple sequences in a credibility space Chapter 3
Some results on triple sequence space in intuitionistic fuzzy anti
normed linear space Chapter 4
Unmanned aerial vehicle application to fuzzy soft set based decision
making Chapter 5
Fixed
point results on strong Jleli
Samet
F
metric spaces and applications Chapter 6
Fractional
integral equations Chapter 7
Measures of Noncompactness and solvability of fractional integral equations Chapter 8
New fixed point results in orthogonal neutrosophic triple controlled rectangular b
metric spaces Chapter 9
Intuitionistic fuzzy stability results of mixed type functional equation using classical approaches Chapter 10
Enhancing paddy crop disease analysis with an intuitionistic fuzzy clustering algorithm Chapter 11
Soft
rough expert set Chapter 12
Gamma modules and gamma filters Chapter 13
Soft computing techniques for enhanced E
commerce recommender systems Chapter 14
Mathematical foundations of CNN in Soft Computing Chapter 15
Fuzzy logic in predicting diseases: A paradigm shift in medical science