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4th Neural Computation and Psychology Workshop, London, 9–11 April 1997, John A: Bullinaria; David W. Glasspool; George Hou


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Автор: John A: Bullinaria; David W. Glasspool; George Hou
Название:  4th Neural Computation and Psychology Workshop, London, 9–11 April 1997
ISBN: 9783540762089
Издательство: Springer
Классификация:



ISBN-10: 3540762086
Обложка/Формат: Paperback
Страницы: 343
Вес: 0.50 кг.
Дата издания: 29.10.1997
Серия: Perspectives in Neural Computing
Язык: English
Размер: 234 x 156 x 19
Основная тема: Computer Science
Подзаголовок: Connectionist Representations
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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.

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.

Neural Computation and Psychology

Автор: Leslie S. Smith; Peter J.B. Hancock
Название: Neural Computation and Psychology
ISBN: 3540199489 ISBN-13(EAN): 9783540199489
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Containing the proceedings of the 3rd Neural Computation and Psychology Workshop, this volume provides a view of the neural computation perspective on cognition, with particular emphasis on cognition, low-level perception, audition and vision, and sequence learning.

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.

Computation in Neurons and Neural Systems

Автор: Frank H. Eeckman
Название: Computation in Neurons and Neural Systems
ISBN: 0792394658 ISBN-13(EAN): 9780792394655
Издательство: Springer
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Цена: 36570.00 р.
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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.

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

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