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
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Цена: 181670.00 T
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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
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Цена: 65170.00 T
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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
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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
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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
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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: Carlos M. Fonseca; Xavier Gandibleux; Jin-Kao Hao;
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3642010199 ISBN-13(EAN): 9783642010194
Издательство: Springer
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Цена: 97820.00 T
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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: Efr?n Mezura-Montes
Название: Constraint-Handling in Evolutionary Optimization
ISBN: 3642101550 ISBN-13(EAN): 9783642101557
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.

Автор: Elena Marchiori; Jason H. Moore
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3540787569 ISBN-13(EAN): 9783540787563
Издательство: Springer
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Цена: 60550.00 T
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Описание: 6th European Conference EvoBIO 2008 Naples Italy March 26-28 2008 Proceedings.

Автор: St?phane Doncieux; Nicolas Bredeche; Jean-Baptiste
Название: New Horizons in Evolutionary Robotics
ISBN: 3642267211 ISBN-13(EAN): 9783642267215
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book offers extended contributions from the workshop "New Horizons in Evolutionary Design of Robots" that brought together researchers from Computer Science and Robotics during the International Conference on Intelligent Robots and Systems (IROS-2009).

Автор: Xinjie Yu; Mitsuo Gen
Название: Introduction to Evolutionary Algorithms
ISBN: 184996128X ISBN-13(EAN): 9781849961288
Издательство: Springer
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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: H.B. Mitchell
Название: Multi-Sensor Data Fusion: An Introduction
ISBN: 3642090672 ISBN-13(EAN): 9783642090677
Издательство: Springer
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Цена: 87060.00 T
Наличие на складе: Поставка под заказ.
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: Stefano Cagnoni
Название: Evolutionary Image Analysis and Signal Processing
ISBN: 3642101852 ISBN-13(EAN): 9783642101854
Издательство: Springer
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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.