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Computation in Neurons and Neural Systems, Frank H. Eeckman


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Автор: Frank H. Eeckman
Название:  Computation in Neurons and Neural Systems
ISBN: 9780792394655
Издательство: Springer
Классификация:
ISBN-10: 0792394658
Обложка/Формат: Hardcover
Страницы: 319
Вес: 0.67 кг.
Дата издания: 30.06.1994
Язык: English
Размер: 243 x 166 x 25
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Contains papers which represent a cross-section of the state-of-the-art research work in the field of computational neuroscience, including coverage of analysis and modelling work, as well as results of new biological experimentation.


New Trends in Neural Computation

Автор: Jose Mira; Joan Cabestany; Alberto Prieto
Название: New Trends in Neural Computation
ISBN: 3540567984 ISBN-13(EAN): 9783540567981
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume contains the edited proceedings of an international workshop on artificial neural networks. The contributors discuss biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation and applications.

A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems

Название: A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
ISBN: 1849968675 ISBN-13(EAN): 9781849968676
Издательство: Springer
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Цена: 23508.00 р.
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Описание: How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.

Coupled Oscillating Neurons

Автор: J.G. Taylor; C.L.T. Mannion
Название: Coupled Oscillating Neurons
ISBN: 3540197443 ISBN-13(EAN): 9783540197447
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Contains the proceedings of a day conference on coupled neuronal oscillators, an important aspect of neural network research, which looks at the physiological properties of neurons in terms of electrochemical features, using these to consider possible directions for future research.

Connectionist Models Of Neurocognition And Emergent Behavior: From Theory To Applications - Proceedings Of The 12Th Neural Computation And Psychology Workshop

Автор: Davelaar Eddy J
Название: Connectionist Models Of Neurocognition And Emergent Behavior: From Theory To Applications - Proceedings Of The 12Th Neural Computation And Psychology Workshop
ISBN: 9814340340 ISBN-13(EAN): 9789814340342
Издательство: World Scientific Publishing
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Цена: 21226.00 р.
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Описание: Collects together most of the papers presented at the Twelfth Neural Computation and Psychology Workshop (NCPW12) held in 2010 at Birkbeck College (England). This book covers a wide range of research topics in neural computation and psychology, including cognitive development, language processing, higher-level cognition, and more.

Handbook of neural computation /

Автор: Pijush Samui
Название: Handbook of neural computation /
ISBN: 0128113189 ISBN-13(EAN): 9780128113189
Издательство: Elsevier Science
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Цена: 23412.00 р.
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Описание:

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world.

Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.


  • Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more
  • Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing
  • Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods
Multi-Valued and Universal Binary Neurons

Автор: Igor Aizenberg; Naum N. Aizenberg; Joos P.L. Vande
Название: Multi-Valued and Universal Binary Neurons
ISBN: 0792378245 ISBN-13(EAN): 9780792378242
Издательство: Springer
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Цена: 27245.00 р.
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Описание: Deals with 2 types of neurons: multi-valued neurons and universal binary neurons. Networks with such neurons exhibit a broad functionality. This book proves the broad applicability of these networks using several case studies in fields of application: image processing, edge detection, image enhancement, super resolution, and, pattern recognition.

Computation and Neural Systems

Автор: Frank H. Eeckman; James M. Bower
Название: Computation and Neural Systems
ISBN: 079239349X ISBN-13(EAN): 9780792393498
Издательство: Springer
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Цена: 43184.00 р.
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Описание: Computational neuroscience is best defined by its focus on understanding the nervous system as a computational device. The majority of papers in this book describe analysis and modelling efforts, while others describe the results of biological experiments, in the context of computational issues.

4th Neural Computation and Psychology Workshop, London, 9–11 April 1997

Автор: John A: Bullinaria; David W. Glasspool; George Hou
Название: 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997
ISBN: 3540762086 ISBN-13(EAN): 9783540762089
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This text presents the proceedings of the 4th Computation and Psychology Workshop. The papers included cover areas such as distributed representations and connectionism, neuronal activities of the Hippocampus and evolutionary partial comprehension.

Artificial Neural Networks for Modelling and Control of Non-Linear Systems

Автор: Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de
Название: Artificial Neural Networks for Modelling and Control of Non-Linear Systems
ISBN: 0792396782 ISBN-13(EAN): 9780792396789
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems.


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