Introduction To Evolutionary Informatics, Marks Ii Robert J Et Al
Автор: Xinjie Yu; Mitsuo Gen Название: Introduction to Evolutionary Algorithms ISBN: 144712569X ISBN-13(EAN): 9781447125693 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.
Автор: Xinjie Yu; Mitsuo Gen Название: Introduction to Evolutionary Algorithms ISBN: 184996128X ISBN-13(EAN): 9781849961288 Издательство: Springer Рейтинг: Цена: 181670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.
Автор: Revesz Peter Название: Introduction to Constraint Databases ISBN: 0387987290 ISBN-13(EAN): 9780387987293 Издательство: Springer Рейтинг: Цена: 65170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents the theory and applications of "constraint database" systems, which provide methods for the design of data models and query languages. This resource is useful for advanced students, practitioners, and professionals in computer science, database systems, and information systems.
Автор: Gurney, Kevin Название: Introduction to neural networks ISBN: 1857285034 ISBN-13(EAN): 9781857285031 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Невозможна поставка. Описание: Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; and gradient descent methods.
Автор: Ertel Название: Introduction to Artificial Intelligence ISBN: 0857292986 ISBN-13(EAN): 9780857292988 Издательство: Springer Рейтинг: Цена: 32560.00 T Наличие на складе: Невозможна поставка. Описание: This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.
Название: Introduction to statistical relational learning ISBN: 0262072882 ISBN-13(EAN): 9780262072885 Издательство: MIT Press Рейтинг: Цена: 71280.00 T Наличие на складе: Нет в наличии. Описание: Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.
Автор: H.B. Mitchell Название: Multi-Sensor Data Fusion: An Introduction ISBN: 3642090672 ISBN-13(EAN): 9783642090677 Издательство: Springer Рейтинг: Цена: 87060.00 T Наличие на складе: Нет в наличии. Описание: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
Автор: Ruhul A. Sarker; Tapabrata Ray Название: Agent-Based Evolutionary Search ISBN: 3642134246 ISBN-13(EAN): 9783642134241 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presenting state-of-the-art theory and practice in the field, this volume includes novel frameworks, a convergence and complexity analysis, and real-world applications. It aims to raise awareness of this effective method of enhancing evolutionary algorithms.
Автор: Carlos M. Fonseca; Xavier Gandibleux; Jin-Kao Hao; Название: Evolutionary Multi-Criterion Optimization ISBN: 3642010199 ISBN-13(EAN): 9783642010194 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. This book presents 39 revised full papers together with 5 invited talks that were reviewed and selected from 72 submissions.
Автор: Stefano Cagnoni Название: Evolutionary Image Analysis and Signal Processing ISBN: 3642101852 ISBN-13(EAN): 9783642101854 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is mostly papers selected from EvoIASP 2007, an event dedicated to evolutionary image analysis and signal processing. It covers the latest on evolutionary computation techniques in computer vision, pattern recognition, image and signal processing.
Автор: Oscar Castillo; Witold Pedrycz Название: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control ISBN: 3642045138 ISBN-13(EAN): 9783642045134 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent systems using SC and their applications in modeling, simulation and control.
Автор: Mitsuo Gen; Osamu Katai; Bob McKay; Akira Namatame Название: Intelligent and Evolutionary Systems ISBN: 3642101143 ISBN-13(EAN): 9783642101144 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers fourteen select papers presented at the recent Asia-Pacific Symposia on Intelligent and Evolutionary Systems. They illustrate the breadth of research in the field with applications ranging from business to medicine to network optimization.
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