Автор: Quesada Название: Future and Emergent Trends in Language Technology ISBN: 3319334999 ISBN-13(EAN): 9783319334998 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Future and Emergent Trends in Language Technology, FETLT 2015, held in Seville, Spain, in November 2015.The 10 full papers presented together with 3 position papers and 7 invited keynote abstracts were selected from numerous submissions. The structure of the Workshop will feature a significant number of experts in language technologies and convergent areas. One objective will be the organization of forum sessions in order to review some of the current-trend research projects that are already addressing new methodological approaches and proposing solutions and innovative applications. A second major objective will be brainstorming sessions where representatives of the most innovative industrial sector in this area can present and describe the challenges and socio-economic needs of the present and immediate future. All researchers are invited to submit proposals that incorporate solid research and innovation ideas in the field of language technology and in connection with other convergent areas.
Автор: Edsberg Lennart Название: Introduction to Computation and Modeling for Differential Eq ISBN: 1119018447 ISBN-13(EAN): 9781119018445 Издательство: Wiley Рейтинг: Цена: 13614.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Uses mathematical, numerical, and programming tools to solve differential equations for physical phenomena and engineering problems
Introduction to Computation and Modeling for Differential Equations, Second Edition features the essential principles and applications of problem solving across disciplines such as engineering, physics, and chemistry. The Second Edition integrates the science of solving differential equations with mathematical, numerical, and programming tools, specifically with methods involving ordinary differential equations; numerical methods for initial value problems (IVPs); numerical methods for boundary value problems (BVPs); partial differential equations (PDEs); numerical methods for parabolic, elliptic, and hyperbolic PDEs; mathematical modeling with differential equations; numerical solutions; and finite difference and finite element methods.
The author features a unique "Five-M" approach: Modeling, Mathematics, Methods, MATLAB(R), and Multiphysics, which facilitates a thorough understanding of how models are created and preprocessed mathematically with scaling, classification, and approximation and also demonstrates how a problem is solved numerically using the appropriate mathematical methods. With numerous real-world examples to aid in the visualization of the solutions, Introduction to Computation and Modeling for Differential Equations, Second Edition includes:
New sections on topics including variational formulation, the finite element method, examples of discretization, ansatz methods such as Galerkin's method for BVPs, parabolic and elliptic PDEs, and finite volume methods
Numerous practical examples with applications in mechanics, fluid dynamics, solid mechanics, chemical engineering, heat conduction, electromagnetic field theory, and control theory, some of which are solved with computer programs MATLAB and COMSOL Multiphysics(R)
Additional exercises that introduce new methods, projects, and problems to further illustrate possible applications
A related website with select solutions to the exercises, as well as the MATLAB data sets for ordinary differential equations (ODEs) and PDEs
Introduction to Computation and Modeling for Differential Equations, Second Edition is a useful textbook for upper-undergraduate and graduate-level courses in scientific computing, differential equations, ordinary differential equations, partial differential equations, and numerical methods. The book is also an excellent self-study guide for mathematics, science, computer science, physics, and engineering students, as well as an excellent reference for practitioners and consultants who use differential equations and numerical methods in everyday situations.
Автор: Shi Zhongzhi Название: Mind Computation ISBN: 9813145803 ISBN-13(EAN): 9789813145801 Издательство: World Scientific Publishing Рейтинг: Цена: 24552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Mind computation is a hot topic of intelligence science. It is explored by computing to explain the theoretical basis of human intelligence. Through long-term research, a mind model CAM (Consciousness and Memory) is proposed, which provides a general framework for brain-like intelligence and brain-like intelligent systems.
This novel book centers on mind model CAM, systematically discusses the theoretical basis of mind computation in nine chapters. Because of its advanced progresses on brain-like intelligence, it is useful as a primary reference volume for professionals and graduate students in intelligence science, cognitive science and artificial intelligence.
Автор: Phan Cong Vinh; Leonard Barolli Название: Nature of Computation and Communication ISBN: 3319469088 ISBN-13(EAN): 9783319469089 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the post-conference proceedings of the Second International Conference on Nature of Computation and Communication, ICTCC 2016, held in March 2016 in Rach Gia, Vietnam. The 36 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication.
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: Roberto Serra; Rita Cucchiara Название: AI*IA 2009: Emergent Perspectives in Artificial Intelligence ISBN: 3642102905 ISBN-13(EAN): 9783642102905 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2009, held in Reggio Emilia, Italy, in December 2009.
Автор: Akira Namatame; Satoshi Kurihara; Hideyuki Nakashi Название: Emergent Intelligence of Networked Agents ISBN: 3642090141 ISBN-13(EAN): 9783642090141 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: WEIN 06 was especially intended to increase the awareness of researchers in these two fields sharing the common view on combining agent-based modeling and complex networks in order to develop insight and foster predictive methodologies in studying emergent intelligence on of networked agents.
Автор: Levesque Hector J. Название: Thinking as Computation: A First Course ISBN: 0262016990 ISBN-13(EAN): 9780262016995 Издательство: MIT Press Рейтинг: Цена: 4967.00 р. Наличие на складе: Нет в наличии.
Описание: Students explore the idea that thinking is a form of computation by learning to write simple computer programs for tasks that require thought.
Описание: The Italian community in Artificial Life and Evolutionary computation has grown remarkably over the years. This book presents a collection of its major interests and achievements (including contributions from foreign countries). It provides a broad picture of the Italian activities in this field.
Описание: Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.
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