Multi-Hierarchical Representation of Large-Scale Space, Juan A. Fern?ndez; Javier Gonz?lez
Автор: Joanna Ko?odziej Название: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems ISBN: 3642436617 ISBN-13(EAN): 9783642436611 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores hot topics in the design, administration and management of dynamic grid environments. The emphasis is on preferences and autonomous decisions of system users, secure access to processed data and services and the use of green technologies.
Автор: Dianwei Qian; Jianqiang Yi Название: Hierarchical Sliding Mode Control for Under-actuated Cranes ISBN: 366251656X ISBN-13(EAN): 9783662516560 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reports on the latest developments in sliding mode overhead crane control, presenting novel research ideas and findings on sliding mode control (SMC), hierarchical SMC and compensator design-based hierarchical sliding mode.
Автор: Jan Oliver Wallgr?n Название: Hierarchical Voronoi Graphs ISBN: 3642425100 ISBN-13(EAN): 9783642425103 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Is there space when there are objects to occupy it or is there space only when there are no objects to occupy it? These are old philosophical questions that concern the ontology of space in the philosophical sense of `ontology` - what is the nature of space?
Автор: Hing Kai Chan; Xiaojun Wang Название: Fuzzy Hierarchical Model for Risk Assessment ISBN: 1447150422 ISBN-13(EAN): 9781447150428 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a fuzzy-based hierarchical approach to risk management problems, tackling imprecise information with qualitative and quantitative criteria. Uses case studies from the food, fashion and electronics sectors on supply chain management and more.
Автор: Jens Spehr Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities ISBN: 3319358626 ISBN-13(EAN): 9783319358628 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.
Автор: Leticia Cervantes; Oscar Castillo Название: Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers ISBN: 3319266705 ISBN-13(EAN): 9783319266701 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Whenfuzzy logic is used it make it easy to performed the simulations, these fuzzysystems help to model the behavior of a real systems, using the fuzzysystems fuzzy rules are generated and with this can generate the behavior ofany variable depending on the inputs and linguistic value.
Автор: Daniela Sanchez; Patricia Melin Название: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation ISBN: 331928861X ISBN-13(EAN): 9783319288611 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;
Автор: Hing Kai Chan; Xiaojun Wang Название: Fuzzy Hierarchical Model for Risk Assessment ISBN: 1447160746 ISBN-13(EAN): 9781447160748 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a fuzzy-based hierarchical approach to risk management problems, tackling imprecise information with qualitative and quantitative criteria. Uses case studies from the food, fashion and electronics sectors on supply chain management and more.
Автор: Alexander Leonessa; Wassim M. Haddad; VijaySekhar Название: Hierarchical Nonlinear Switching Control Design with Applications to Propulsion Systems ISBN: 1852333359 ISBN-13(EAN): 9781852333355 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text presents a general nonlinear control design methodology for nonlinear uncertain dynamical systems. Specifically, a hierarchical nonlinear switching control framework is developed that provides an alternative to gain scheduling control for general nonlinear uncertain systems.
Автор: Jens Spehr Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities ISBN: 3319113240 ISBN-13(EAN): 9783319113241 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.
Автор: Gianluca Baldassarre; Marco Mirolli Название: Computational and Robotic Models of the Hierarchical Organization of Behavior ISBN: 3662514028 ISBN-13(EAN): 9783662514023 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: While machine learning and robotics recognize the fundamental importance of the hierarchical organization of behavior for building robots that scale up to solve complex tasks, research in psychology and neuroscience shows increasing evidence that modularity and hierarchy are pivotal organization principles of behavior and of the brain.
Автор: Daniel Vasquez; Rainer Gruhn; Wolfgang Minker Название: Hierarchical Neural Network Structures for Phoneme Recognition ISBN: 3642432107 ISBN-13(EAN): 9783642432101 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The subject of this study is the role of hierarchical structures, based on neural networks, in identifying phonemes in automated speech recognition systems. It shows how the artificial neural network paradigm can simplify the analysis of spoken language.
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