Trees and Hierarchical Structures, Andreas Dress; Arndt van Haeseler
Автор: Daniel Vasquez; Rainer Gruhn; Wolfgang Minker Название: Hierarchical Neural Network Structures for Phoneme Recognition ISBN: 3642344240 ISBN-13(EAN): 9783642344244 Издательство: Springer Рейтинг: Цена: 15957.00 р. 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.
Mathematical Models in the Finite Element Solution.- Fundamental Steps in Structural Mechanics.- The Linear 3-D Elasticity Mathematical Model.- Mathematical Models used in Engineering Structural Analysis.- The Principle of Virtual Work.- The Finite Element Process of Solution.- Hierarchical Modeling Examples.- Modeling for Nonlinear Analysis.
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: 13677.00 р. 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.
Описание: Advances in Polymer Science volumes thus are important references for every polymer scientist, as well as for other scientists interested in polymer science - as an introduction to a neighboring field, or as a compilation of detailed information for the specialist.
Автор: Percec Virgil Название: Hierarchical Macromolecular Structures: 60 Years After the S ISBN: 3319037188 ISBN-13(EAN): 9783319037189 Издательство: Springer Рейтинг: Цена: 34150.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advances in Polymer Science volumes thus are important references for every polymer scientist as well as for other scientists interested in polymer science - as an introduction to a neighboring field, or as a compilation of detailed information for the specialist.
Автор: Richard M. Burton; B?rge Obel Название: Design Models for Hierarchical Organizations ISBN: 1461359643 ISBN-13(EAN): 9781461359647 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Design Models for Hierarchical Organizations: Computation, Information, and Decentralization provides state-of-the-art research on organizational design models, and in particular on mathematical models. Each chapters stands alone as a contribution to organization design and the modeling approach to design.
Автор: Heinrich J. St?ttgen Название: A Hierarchical Associative Processing System ISBN: 3540156526 ISBN-13(EAN): 9783540156529 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Gerald Farin; Bernd Hamann; Hans Hagen Название: Hierarchical and Geometrical Methods in Scientific Visualization ISBN: 364262801X ISBN-13(EAN): 9783642628016 Издательство: Springer Рейтинг: Цена: 18237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The nature of the physical Universe has been increasingly better understood in recent years, and cosmological concepts have undergone a rapid evolution (see, e.g., [11], [2],or [5]).
Автор: Christoph Jungemann; Bernd Meinerzhagen Название: Hierarchical Device Simulation ISBN: 3709172268 ISBN-13(EAN): 9783709172261 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book summarizes the research of more than a decade. Its early motivation dates back to the eighties and to the memorable talks Dr. C. Moglestue (FHG Freiburg) gave on his Monte-Carlo solutions of the Boltzmann transport equation at the NASECODE conferences in Ireland. At that time numerical semiconductor device modeling basically implied the application of the drift-diffusion model. On the one hand, those talks clearly showed the potential of the Monte-Carlo model for an accurate description of many important transport issues that cannot adequately be addressed by the drift-diffusion approximation. On the other hand, they also clearly demonstrated that at that time only very few experts were able to extract useful results from a Monte-Carlo simulator. With this background, Monte-Carlo research activities were started in 1986 at the University of Aachen (RWTH Aachen), Germany. Different to many other Monte-Carlo research groups, the Monte-Carlo research in Aachen took place in an environment of active drift-diffusion and hydrodynamic model development.
Metallurgy and Design of Alloys with Hierarchical Microstructures covers the fundamentals of processing-microstructure-property relationships and how multiple properties are balanced and optimized in materials with hierarchical microstructures widely used in critical applications. The discussion is based principally on metallic materials used in aircraft structures; however, because they have sufficiently diverse microstructures, the underlying principles can easily be extended to other materials systems. With the increasing microstructural complexity of structural materials, it is important for students, academic researchers and practicing engineers to possess the knowledge of how materials are optimized and how they will behave in service.
The book integrates aspects of computational materials science, physical metallurgy, alloy design, process design, and structure-properties relationships, in a manner not done before. It fills a knowledge gap in the interrelationships of multiple microstructural and deformation mechanisms by applying the concepts and tools of designing microstructures for achieving combinations of engineering properties--such as strength, corrosion resistance, durability and damage tolerance in multi-component materials--used for critical structural applications.
Автор: Kalidindi Surya R. Название: Hierarchical Materials Informatics ISBN: 0124103944 ISBN-13(EAN): 9780124103948 Издательство: Elsevier Science Рейтинг: Цена: 21054.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to cover unimaginably large dimensional spaces. Hierarchical Materials Informatics addresses objective, computationally efficient, mining of large ensembles of experimental and modeling datasets to extract this core materials knowledge. Furthermore, it aims to organize and present this high value knowledge in highly accessible forms to end users engaged in product design and design for manufacturing efforts. As such, this emerging field has a pivotal role in realizing the goals outlined in current strategic national initiatives such as the Materials Genome Initiative (MGI) and the Advanced Manufacturing Partnership (AMP). This book presents the foundational elements of this new discipline as it relates to the design, development, and deployment of hierarchical materials critical to advanced technologies.
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