Real-Time Multi-Chip Neural Network for Cognitive Systems, Amir Zjajo, Rene van Leuken
Автор: Reid, Darryn J. (defence Science & Technology Organisation, Australia) Pilling, Michael J. ( Defence Sci & Technology Organisation, Australia) Ivancev Название: Mathematics of autonomy: mathematical methods for cyber-physical-cognitive systems ISBN: 981323038X ISBN-13(EAN): 9789813230385 Издательство: World Scientific Publishing Рейтинг: Цена: 21384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world environments demand truly autonomous solutions to provide the flexibility and robustness needed to operate well within them.
This volume embraces hybrid solutions to demonstrate extending the classes of uncertainty autonomous systems can handle. In particular, it combines physical-autonomy (robots), cyber-autonomy (agents) and cognitive-autonomy (cyber and embodied cognition) to produce a rigorous subset of trusted autonomy: Cyber-Physical-Cognitive autonomy (CPC-autonomy).
The body of the book alternates between underlying theory and applications of CPC-autonomy including "Autonomous Supervision of a Swarm of Robots", "Using Wind Turbulence against a Swarm of UAVs" and "Unique Super-Dynamics for All Kinds of Robots (UAVs, UGVs, UUVs and USVs)" to illustrate how to effectively construct Autonomous Systems using this model. It avoids the wishful thinking that characterizes much discussion related to autonomy, discussing the hard limits and challenges of real autonomous systems. In so doing, it clarifies where more work is needed, and also provides a rigorous set of tools to tackle some of the problem space.
Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.
Автор: Hajduk Название: Cognitive Multi-agent Systems ISBN: 3319936859 ISBN-13(EAN): 9783319936857 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book describes an approach to the multi-agent systems (MAS) design for applications of robotic soccer in the MiroSot category.
Автор: Mikul?? Hajduk; Marek Sukop; Matthias Haun Название: Cognitive Multi-agent Systems ISBN: 3030067068 ISBN-13(EAN): 9783030067069 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book describes an approach to the multi-agent systems (MAS) design for applications of robotic soccer in the MiroSot category. The described MAS is designed for dynamic, quickly changing environments, in which not only the actions of our MAS are observed, but also those of the opposing MAS. It actively tries to affect the environment to score goals faster than the opposing MAS. Multi-agent systems (MAS) are mostly applied in the environments in which they exist and act without an opposing system.
The book also describes strategies based on a supervisor that makes decisions depending on behavior prediction of the opposing MAS and the ball movement in the working place. A sophisticated distribution of tasks was designed for each agent to cooperate in order score goals as fast as possible. Simultaneously, these agents try, by permitted means, to prevent the enemy agents from scoring goals. The approach described is an excellent guide to the constantly evolving abilities of mobile robotics, both for real-world applications, such as cooperation of multiple robots in life-saving activities, and for the steadily developing applications of mobile robots in various robotic competitions (e.g. Robocup, etc.).
The book provides readers with high-level knowledge on how to design strategies and how to implement such systems, and the ideas presented enable them to further refine the approach utilizing the latest hardware and use it in new systems implementations of sophisticated intelligent engineering.
Описание: Contains a selection of the papers presented at the XVII SIGEF Congress. This title is suitable for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11504.00 р. Наличие на складе: Нет в наличии.
Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Описание: This book aims to provide a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics.
Автор: Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat Название: Neural Network-Based State Estimation of Nonlinear Systems ISBN: 1441914374 ISBN-13(EAN): 9781441914378 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.
Описание: This monograph is the continuation and completion of the monograph, "Intelligent Systems: Approximation by Artificial Neural Networks" written by the same author and published 2011 by Springer.The book you hold in hand presents the complete recent and original work of the author in approximation by neural networks.
Описание: This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.
Автор: Tiumentsev, Yury Название: Neural Network Modeling and Identification of Dynamical Systems ISBN: 0128152540 ISBN-13(EAN): 9780128152546 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft.
Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training
Offers application examples of dynamic neural network technologies, primarily related to aircraft
Provides an overview of recent achievements and future needs in this area
Автор: Vladan Popovic; Kerem Seyid; ?mer Cogal; Abdulkadi Название: Design and Implementation of Real-Time Multi-Sensor Vision Systems ISBN: 3319590561 ISBN-13(EAN): 9783319590561 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors cover the basics of image formation, algorithms for stitching a panoramic image from multiple cameras, and multiple real-time hardware system architectures, in order to have panoramic videos.
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