Biological Neural Networks: Hierarchical Concept of Brain Function, Konstantin V. Baev
Автор: Poler Название: Intelligent Non-hierarchical Manufacturing Networks ISBN: 1848214812 ISBN-13(EAN): 9781848214811 Издательство: Wiley Рейтинг: Цена: 29138.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides guidance for companies on how to transition to high-performance industrial systems and agile networked enterprises based on the non-hierarchical network model better suited for today`s dynamic global market over the traditional, often problematic, hierarchical networks.
Автор: Chang-Soo Kim; Charles Randow; Tomoko Sano Название: Hybrid and Hierarchical Composite Materials ISBN: 3319128671 ISBN-13(EAN): 9783319128672 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses a broad spectrum of areas in both hybrid materials and hierarchical composites, including recent development of processing technologies, structural designs, modern computer simulation techniques, and the relationships between the processing-structure-property-performance.
Автор: G David Garson Название: Hierarchical Linear Modeling ISBN: 1412998859 ISBN-13(EAN): 9781412998857 Издательство: Sage Publications Рейтинг: Цена: 18058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An introduction to the concepts, assumptions, and practical implementation procedures involved in common types of projects based on hierarchical linear modelling, multilevel modelling, or linear mixed modelling.
Автор: Marija Ilic; Shell Liu Название: Hierarchical Power Systems Control ISBN: 144713463X ISBN-13(EAN): 9781447134633 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Deregulation is causing dramatic change in the power industry but little is known about how power systems will function under competition.
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: Daniel Vasquez; Rainer Gruhn; Wolfgang Minker Название: Hierarchical Neural Network Structures for Phoneme Recognition ISBN: 3642344240 ISBN-13(EAN): 9783642344244 Издательство: Springer Рейтинг: Цена: 18284.00 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.
Автор: Christoph Jungemann; Bernd Meinerzhagen Название: Hierarchical Device Simulation ISBN: 3709172268 ISBN-13(EAN): 9783709172261 Издательство: Springer Рейтинг: Цена: 18167.00 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.
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