Learning Analytics: Fundaments, Applications, and Trends, Alejandro Pe?a-Ayala
Автор: Alejandro Pe?a-Ayala Название: Metacognition: Fundaments, Applications, and Trends ISBN: 3319110616 ISBN-13(EAN): 9783319110615 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: (3) introduces a conceptual model to describe the metacognitive activity as an autopoietic system.* Framework: offers three works concerned with: (4) stimulate metacognitive skills and self-regulatory functions; (12) metacognitive knowledge and metacognitive experiences are essential for teaching practices.
Автор: Alejandro Pe?a-Ayala Название: Metacognition: Fundaments, Applications, and Trends ISBN: 3319355910 ISBN-13(EAN): 9783319355917 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: (3) introduces a conceptual model to describe the metacognitive activity as an autopoietic system.* Framework: offers three works concerned with: (4) stimulate metacognitive skills and self-regulatory functions; (12) metacognitive knowledge and metacognitive experiences are essential for teaching practices.
Автор: Juraj Hromkovi?; Rastislav Kr?lovic; Jan Vahrenhol Название: Teaching Fundamental Concepts of Informatics ISBN: 3642113753 ISBN-13(EAN): 9783642113758 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the fourth International Conference on Informatics in Secondary Schools - Evolution and Perspectives, ISSEP 2010, held in Zurich, Switzerland in January 2010. This book addresses a variety of topics related to teaching informatics in secondary schools.
Автор: Hung T. Nguyen; Berlin Wu Название: Fundamentals of Statistics with Fuzzy Data ISBN: 364206857X ISBN-13(EAN): 9783642068577 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph is dedicated to the systematic presentation of main trends, technologies and methods of computational intelligence (CI). The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN). Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed. The applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method. This monograph also focuses on an inductive modeling method of self-organization – the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms.The distinguishing feature of this monograph is a great number of practical examples of CI technologies and methods application for solution of real problems in technology, economy and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction under uncertainty which were developed by authors and published in this book for the first time. All CI methods and algorithms are presented from the general system approach and analysis of their properties, advantages and drawbacks that enables practitioners to choose the most adequate method for their own problems solution.
Автор: M?ller Название: Fundamental Issues of Artificial Intelligence ISBN: 3319264834 ISBN-13(EAN): 9783319264837 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume offers a look at the fundamentalissues of present and future AI, especially from cognitive science, computerscience, neuroscience and philosophy. This work examines the conditionsfor artificial intelligence, how these relate to the conditions for intelligencein humans and other natural agents, as well as ethical and societal problemsthat artificial intelligence raises or will raise.The key issues this volume investigates include the relation of AI andcognitive science, ethics of AI and robotics, brain emulation andsimulation, hybrid systems and cyborgs, intelligence and intelligence testing,interactive systems, multi-agent systems, and super intelligence.Based on the 2nd conference on “Theory and Philosophy of ArtificialIntelligence” held in Oxford, the volume includes prominentresearchers within the field from around the world.
Описание: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.
Автор: Moller, Dietmar P. F. Название: Guide to computing fundamentals in cyber-physical systems ISBN: 3319251767 ISBN-13(EAN): 9783319251769 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an in-depth review of the state of the art of cyber-physical systems (CPS) and their applications. presents a brief overview of the study of systems, and embedded computing systems, before defining CPS;
Автор: Maria M. Seron; Julio H. Braslavsky; Graham C. Goo Название: Fundamental Limitations in Filtering and Control ISBN: 144711244X ISBN-13(EAN): 9781447112440 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book deals with the issue of fundamental limitations in filtering and control system design. Although the original results were restricted to open-loop stable systems, they have been subsequently extended to open-loop unstable systems and systems having nonminimum phase zeros.
Описание: This book presents a new decision theory with imperfect decision-relevant information on environment and a decision maker`s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory.
Описание: This book presents a new decision theory with imperfect decision-relevant information on environment and a decision maker`s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory.
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