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Artificial Neural Nets and Genetic Algorithms, Rudolf F. Albrecht; Colin R. Reeves; Nigel C. Stee


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Автор: Rudolf F. Albrecht; Colin R. Reeves; Nigel C. Stee
Название:  Artificial Neural Nets and Genetic Algorithms
ISBN: 9783211824597
Издательство: Springer
Классификация:


ISBN-10: 3211824596
Обложка/Формат: Paperback
Страницы: 737
Вес: 1.67 кг.
Дата издания: 05.05.1993
Язык: English
Размер: 279 x 210 x 38
Основная тема: Computer Science
Подзаголовок: Proceedings of the International Conference in Innsbruck, Austria, 1993
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Includes contributions reporting theoretical developments in the design of neural networks and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of oil industrial processes, as well as to credit scoring, are reflected.


Artificial Neural Nets and Genetic Algorithms

Автор: Andrej Dobnikar; Nigel C. Steele; David W. Pearson
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211833641 ISBN-13(EAN): 9783211833643
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Includes such chapters as: neural networks; theory and applications - NNs (= neural networks) classifier on continuous data domains; quantum associative memory; a new class of neuron-like discrete filters to image processing; and, modular NNs for improving generalisation properties.

Combining Artificial Neural Nets

Автор: Amanda J.C. Sharkey
Название: Combining Artificial Neural Nets
ISBN: 185233004X ISBN-13(EAN): 9781852330040
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems.

Neural Nets And Chaotic Carriers (2Nd Edition)

Автор: Whittle Peter
Название: Neural Nets And Chaotic Carriers (2Nd Edition)
ISBN: 1848165900 ISBN-13(EAN): 9781848165908
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: Develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels.

Neural Nets

Автор: Bruno Apolloni; Maria Marinaro; Roberto Tagliaferr
Название: Neural Nets
ISBN: 3540202277 ISBN-13(EAN): 9783540202271
Издательство: Springer
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Цена: 10480.00 р.
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Neural Nets and Surroundings

Автор: Bruno Apolloni; Simone Bassis; Anna Esposito; Fran
Название: Neural Nets and Surroundings
ISBN: 3642354661 ISBN-13(EAN): 9783642354663
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Collecting contributions to the 22nd Italian Workshop on Neural Networks and the yearly meeting of the Italian Society for Neural Networks (SIREN), this book covers the latest research on artificial neural networks and natural intelligence.

Artificial Neural Nets and Genetic Algorithms

Автор: George D. Smith; Nigel C. Steele; Rudolf F. Albrec
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211830871 ISBN-13(EAN): 9783211830871
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume comprises papers from the International Conference on Artificial Neural Nets and Genetic Algorithms. Topics covered include: robotics and sensors; power systems; evolware; vision; medical applications; GA applications; parallel GAs; and combinatorial optimization.

Neural Nets

Автор: Bruno Apolloni; Maria Marinaro; Giuseppe Nicosia;
Название: Neural Nets
ISBN: 3540331832 ISBN-13(EAN): 9783540331834
Издательство: Springer
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Цена: 10480.00 р.
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Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Artificial Neural Nets and Genetic Algorithms

Автор: David W. Pearson; Nigel C. Steele; Rudolf F. Albre
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211826920 ISBN-13(EAN): 9783211826928
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Artificial neural networks and genetic algorithms are both areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. This book examines new computation techniques which are applied in diverse fields.

Artificial Neural Nets and Genetic Algorithms

Автор: Vera Kurkova; Nigel C. Steele; Roman Neruda; Miros
Название: Artificial Neural Nets and Genetic Algorithms
ISBN: 3211836519 ISBN-13(EAN): 9783211836514
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net- works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting.

Neural Nets and Surroundings

Автор: Bruno Apolloni; Simone Bassis; Anna Esposito; Fran
Название: Neural Nets and Surroundings
ISBN: 3642441327 ISBN-13(EAN): 9783642441325
Издательство: Springer
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Цена: 25853.00 р.
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Описание: Collecting contributions to the 22nd Italian Workshop on Neural Networks and the yearly meeting of the Italian Society for Neural Networks (SIREN), this book covers the latest research on artificial neural networks and natural intelligence.


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