Описание: The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.
Автор: Nguyen Название: Computational Social Networks ISBN: 3319423444 ISBN-13(EAN): 9783319423449 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers cover topics on common principles, algorithms and tools that govern social network structures/topologies, functionalities, social interactions, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.
Описание: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments.
Автор: Sadhana Puntambekar; Gijsbert Erkens; Cindy Hmelo- Название: Analyzing Interactions in CSCL ISBN: 1461427886 ISBN-13(EAN): 9781461427889 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Analyzing Interactions in CSCL explores ways to document and analyze interactions in CSCL, and informs the design of the next generation of CSCL tools. Topics include alternative methodologies, theoretical underpinnings of the methods used, data indicating how methods work, user guidance, and more.
Автор: Xiao Jun Hei; Lawrence Cheung Название: Access Networks ISBN: 3642116639 ISBN-13(EAN): 9783642116636 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: up to date results
Автор: Johann M.Ph. Schumann; Yan Liu Название: Applications of Neural Networks in High Assurance Systems ISBN: 3642106897 ISBN-13(EAN): 9783642106897 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.
Описание: This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic theory, use of type-2 fuzzy models, optimization of type-2 fuzzy systems and modular neural networks and more.
Автор: Siddhartha Shakya; Roberto Santana Название: Markov Networks in Evolutionary Computation ISBN: 3642444946 ISBN-13(EAN): 9783642444944 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the different steps involved in the conception, implementation and application of Estimation of distribution algorithms (EDAs) that use Markov networks and undirected models in general.
Автор: Alexander Gegov Название: Fuzzy Networks for Complex Systems ISBN: 3642265359 ISBN-13(EAN): 9783642265358 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book sets out the concept of a fuzzy network with rule bases as nodes whose connections are the interactions between the rule bases in the form of outputs fed as inputs. This systematic study will improve the feasibility and transparency of fuzzy models.
Автор: Patricia Victor; Chris Cornelis; Martine De Cock Название: Trust Networks for Recommender Systems ISBN: 9491216392 ISBN-13(EAN): 9789491216398 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Featuring innovative contributions to the field such as a new bilattice-based model for trust and distrust, this book on a hot research topic is the first in-depth study of the potential of distrust in the emerging domain of trust-enhanced recommendation.
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