Complex Systems Design & Management Asia, Michel-Alexandre Cardin; Saik Hay Fong; Daniel Kro
Автор: Michel-Alexandre Cardin; Daniel Krob; Pao Chuen Lu Название: Complex Systems Design & Management Asia ISBN: 3319125435 ISBN-13(EAN): 9783319125435 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Section A: regular papers.- Section B: posters.
Автор: Marc Aiguier (Editor) et al Название: Complex Systems Design & Management ISBN: 3319028111 ISBN-13(EAN): 9783319028118 Издательство: Springer Рейтинг: Цена: 32652.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book contains all refereed papers that were accepted to the fourth edition of the Complex Systems Design & Management (CSD&M 2013) international conference which took place in Paris (France) from December 4-6, 2013.
These proceedings cover the most recent trends in the emerging field of complex systems sciences & practices from an industrial and academic perspective, including the main industrial domains (transport, defense & security, electronics, energy & environment, e-services), scientific & technical topics (systems fundamentals, systems architecture & engineering, systems metrics & quality, systemic tools) and system types (transportation systems, embedded systems, software & information systems, systems of systems, artificial ecosystems).
The CSD&M 2013 conference is organized under the guidance of the CESAMES non-profit organization.
Описание: This book uses advanced sophisticated modeling tools to decribe optimal water management in a complex distribution system using retention reservoirs, among which water transfers are possible, and a network connecting reservoirs and water treatment plants.
Описание: This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty.
Автор: Jorge Casillas; Francisco J. Mart?nez-L?pez; Rosa Название: Management Intelligent Systems ISBN: 3319005685 ISBN-13(EAN): 9783319005683 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions-with a strong, practical logic and, preferably, with empirical applications-developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; what we call Management Intelligent Systems (MiS).
This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, etc. A wide variety of AI techniques have been applied to these areas such as multi-objective optimization and evolutionary algorithms, classification algorithms, ant algorithms, fuzzy rule-based systems, intelligent agents, Web mining, neural networks, Bayesian models, data warehousing, rough sets, etc. This volume also includes a track focused on the latest research on Intelligent Systems and Technology Enhanced Learning (iTEL), as well as its impacts for learners and institutions. It aims at bringing together researchers and developers from both the professional and the academic realms to present, discuss and debate the latest advances on intelligent systems and technology-enhanced learning
The symposium was organized by the Soft Computing and Intelligent Information Systems Research Group (http: //sci2s.ugr.es) of the University of Granada (Spain) and the Bioinformatics, Intelligent System and Educational Technology Research Group (http: // bisite.usal.es/) of the University of Salamanca (Spain). The present edition was held in Salamanca (Spain) on May 22-24, 2013.
Автор: Edward Szczerbicki Название: Intelligent Systems for Knowledge Management ISBN: 3642260632 ISBN-13(EAN): 9783642260636 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A key area of research in intelligent systems development is focused on knowledge and information management, which is regarded as the crucial issue in smart decision-making support. The chapters of this book are a representative sample of this research.
Описание: This book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.
Автор: Bing-Yuan Cao; Sheng-Quan Ma; Hu-hua Cao Название: Ecosystem Assessment and Fuzzy Systems Management ISBN: 3319034480 ISBN-13(EAN): 9783319034485 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Ecosystem Assessment and Fuzzy Systems Management" is the edited outcome of the 3rd International Conference on Ecosystem Assessment Management (ICEAM) and the Workshop on the Construction of an Early Warning Platform for Eco-tourism (WCEWPE) in Hainan on May 5-12, 2013, Haikou, China.
Описание: Constitutes the proceedings of the 13th conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, held in Dortmund, Germany, in June 2010.
Автор: Edward Szczerbicki Название: Intelligent Systems for Knowledge Management ISBN: 3642041698 ISBN-13(EAN): 9783642041693 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A key area of research in intelligent systems development is focused on knowledge and information management, which is regarded as the crucial issue in smart decision-making support. The chapters of this book are a representative sample of this research.
Автор: Ogiela, Lidia Dominika Название: Cognitive Information Systems in Management Sciences ISBN: 0128038039 ISBN-13(EAN): 9780128038031 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Поставка под заказ.
Описание:
Cognitive Information Systems in ManagementSciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering.
Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval.
Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Описание: This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
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