Theory and Applications of Ordered Fuzzy Numbers: A Tribute to Professor Witold Kosiński, Prokopowicz Piotr, Czerniak Jacek, Mikolajewski Dariusz
Автор: Xiaodong Liu; Witold Pedrycz Название: Axiomatic Fuzzy Set Theory and Its Applications ISBN: 3642101461 ISBN-13(EAN): 9783642101465 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume examines Axiomatic Fuzzy Sets (AFS), in which fuzzy sets and probability are treated in a unified and coherent fashion. It presents AFS as a rigorous mathematical theory as well as a flexible methodology for the development of intelligent systems.
Автор: Rafael Bello; Rafael Falc?n; Witold Pedrycz Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets ISBN: 3642095682 ISBN-13(EAN): 9783642095689 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.
Автор: Alfredo Petrosino; Vincenzo Loia; Witold Pedrycz Название: Fuzzy Logic and Soft Computing Applications ISBN: 3319529617 ISBN-13(EAN): 9783319529615 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 11th International Workshop on Fuzzy Logic and Applications, WILF 2016, held in Naples, Italy, in December 2016. The 22 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from numerous submissions.
Автор: Piotr Prokopowicz; Jacek Czerniak; Dariusz Miko?aj Название: Theory and Applications of Ordered Fuzzy Numbers ISBN: 3319596136 ISBN-13(EAN): 9783319596136 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is open access under a CC BY 4.0 license.This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications.
Описание: This book provides concise yet thorough coverage of the fundamentals and technology of fuzzy sets. Timely topics and recent advances in fuzzy modeling and its principles, neurocomputing, fuzzy set estimation, granulation-degranulation, and fuzzy sets of higher type and order are discussed.
Описание: This book offers an essential review of central theories, current research and applications in the field of numerical representations of ordered structures.
Автор: Pedrycz Witold, Chen Shyi-Ming Название: Deep Learning: Algorithms and Applications ISBN: 3030317625 ISBN-13(EAN): 9783030317621 Издательство: Springer Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- Chapter 1. Activation Functions.- Chapter 2. Adversarial Examples in Deep Neural Networks: An Overview.- Chapter 3. Representation Learning in Power Time Series Forecasting, etc.
Автор: Ryszard Klempous; Jan Nikodem; Witold Jacak; Zenon Название: Advanced Methods and Applications in Computational Intelligence ISBN: 3319014358 ISBN-13(EAN): 9783319014357 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes updates and extended versions of select contributions to ACASE 2012, the 1st Australian Conference on the Applications of Systems Engineering, held February 2012. It presents advanced methods and applications in computational intelligence.
Автор: Ryszard Klempous; Jan Nikodem; Witold Jacak; Zenon Название: Advanced Methods and Applications in Computational Intelligence ISBN: 3319033395 ISBN-13(EAN): 9783319033396 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes updates and extended versions of select contributions to ACASE 2012, the 1st Australian Conference on the Applications of Systems Engineering, held February 2012. It presents advanced methods and applications in computational intelligence.
Автор: Witold Pedrycz; Shyi-Ming Chen Название: Deep Learning: Algorithms and Applications ISBN: 3030317595 ISBN-13(EAN): 9783030317591 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
Автор: Witold Pedrycz Название: Fuzzy Evolutionary Computation ISBN: 1461378117 ISBN-13(EAN): 9781461378112 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.
Автор: Witold Pedrycz Название: Fuzzy Evolutionary Computation ISBN: 0792399420 ISBN-13(EAN): 9780792399421 Издательство: Springer Рейтинг: Цена: 27944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.
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