Handbook Of Fuzzy Computation
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Author |
: E Ruspini |
Publisher |
: CRC Press |
Total Pages |
: 1229 |
Release |
: 2020-03-05 |
ISBN-10 |
: 9781420050394 |
ISBN-13 |
: 1420050397 |
Rating |
: 4/5 (94 Downloads) |
Synopsis Handbook of Fuzzy Computation by : E Ruspini
Initially conceived as a methodology for the representation and manipulation of imprecise and vague information, fuzzy computation has found wide use in problems that fall well beyond its originally intended scope of application. Many scientists and engineers now use the paradigms of fuzzy computation to tackle problems that are either intractable
Author |
: Janusz Kacprzyk |
Publisher |
: Springer |
Total Pages |
: 1637 |
Release |
: 2015-05-28 |
ISBN-10 |
: 9783662435052 |
ISBN-13 |
: 3662435055 |
Rating |
: 4/5 (52 Downloads) |
Synopsis Springer Handbook of Computational Intelligence by : Janusz Kacprzyk
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.
Author |
: Pijush Samui |
Publisher |
: Academic Press |
Total Pages |
: 660 |
Release |
: 2017-07-18 |
ISBN-10 |
: 9780128113196 |
ISBN-13 |
: 0128113197 |
Rating |
: 4/5 (96 Downloads) |
Synopsis Handbook of Neural Computation by : Pijush Samui
Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. - Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more - Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing - Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods
Author |
: Apostolos Syropoulos |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 170 |
Release |
: 2013-10-23 |
ISBN-10 |
: 9781461483793 |
ISBN-13 |
: 1461483794 |
Rating |
: 4/5 (93 Downloads) |
Synopsis Theory of Fuzzy Computation by : Apostolos Syropoulos
The book provides the first full length exploration of fuzzy computability. It describes the notion of fuzziness and present the foundation of computability theory. It then presents the various approaches to fuzzy computability. This text provides a glimpse into the different approaches in this area, which is important for researchers in order to have a clear view of the field. It contains a detailed literature review and the author includes all proofs to make the presentation accessible. Ideas for future research and explorations are also provided. Students and researchers in computer science and mathematics will benefit from this work.
Author |
: Chen, Toly |
Publisher |
: IGI Global |
Total Pages |
: 328 |
Release |
: 2012-07-31 |
ISBN-10 |
: 9781466618718 |
ISBN-13 |
: 146661871X |
Rating |
: 4/5 (18 Downloads) |
Synopsis Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization by : Chen, Toly
"This book presents the most innovative systematic and practical facets of fuzzy computing technologies to students, scholars, and academicians, as well as practitioners, engineers, and professionals"--
Author |
: Galindo, Jos |
Publisher |
: IGI Global |
Total Pages |
: 899 |
Release |
: 2008-05-31 |
ISBN-10 |
: 9781599048543 |
ISBN-13 |
: 159904854X |
Rating |
: 4/5 (43 Downloads) |
Synopsis Handbook of Research on Fuzzy Information Processing in Databases by : Galindo, Jos
"This book provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. It offers a guide to fuzzy information processing in databases"--Provided by publisher.
Author |
: Bhattacharyya, Siddhartha |
Publisher |
: IGI Global |
Total Pages |
: 535 |
Release |
: 2012-11-30 |
ISBN-10 |
: 9781466625198 |
ISBN-13 |
: 1466625198 |
Rating |
: 4/5 (98 Downloads) |
Synopsis Handbook of Research on Computational Intelligence for Engineering, Science, and Business by : Bhattacharyya, Siddhartha
Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.
Author |
: Sankar K. Pal |
Publisher |
: CRC Press |
Total Pages |
: 344 |
Release |
: 2012-01-25 |
ISBN-10 |
: 9781439856840 |
ISBN-13 |
: 1439856842 |
Rating |
: 4/5 (40 Downloads) |
Synopsis Handbook on Soft Computing for Video Surveillance by : Sankar K. Pal
Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends. After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development. Incorporating both existing and new ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of soft computing. It demonstrates why and how soft computing methodologies can be used in various video surveillance problems.
Author |
: Witold Pedrycz |
Publisher |
: John Wiley & Sons |
Total Pages |
: 1148 |
Release |
: 2008-07-31 |
ISBN-10 |
: 9780470724156 |
ISBN-13 |
: 0470724153 |
Rating |
: 4/5 (56 Downloads) |
Synopsis Handbook of Granular Computing by : Witold Pedrycz
Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.
Author |
: Sachi Nandan Mohanty |
Publisher |
: John Wiley & Sons |
Total Pages |
: 373 |
Release |
: 2022-11-03 |
ISBN-10 |
: 9781394156863 |
ISBN-13 |
: 1394156863 |
Rating |
: 4/5 (63 Downloads) |
Synopsis Fuzzy Computing in Data Science by : Sachi Nandan Mohanty
FUZZY COMPUTING IN DATA SCIENCE This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, system control, and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation. Audience Researchers and students in computer science, artificial intelligence, machine learning, big data analytics, and information and communication technology.