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Artificial Neural Networks, Nicolaos Karayiannis; Anastasios N. Venetsanopoulo


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Автор: Nicolaos Karayiannis; Anastasios N. Venetsanopoulo
Название:  Artificial Neural Networks
ISBN: 9781441951328
Издательство: Springer
Классификация:






ISBN-10: 1441951326
Обложка/Формат: Paperback
Страницы: 440
Вес: 0.64 кг.
Дата издания: 03.12.2010
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 24
Основная тема: Computer Science
Подзаголовок: Learning Algorithms, Performance Evaluation, and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In order to understand the functioning of the brain, neurobiologists have taken a bottom-up approach of studying the stimulus-response characteristics of single neurons and networks of neurons, while psy- chologists have taken a top-down approach of studying brain func- tions from the cognitive and behavioral level.


Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Автор: W. Sandham; Fred Aminzadeh; M. Leggett
Название: Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
ISBN: 9048164761 ISBN-13(EAN): 9789048164769
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking;

VLSI Artificial Neural Networks Engineering

Автор: Mohamed I. Elmasry
Название: VLSI Artificial Neural Networks Engineering
ISBN: 0792394933 ISBN-13(EAN): 9780792394938
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Offers an engineering approach to the design of VLSI Artificial Neural Networks (ANNs). This title presents the design of analog, digital and mixed analog/digital VLSI ANNs. It provides a design methodology and a CAD environment to highlight the tradeoff design factors. It includes system applications of ANNs to automatic speech recognition.

VLSI — Compatible Implementations for Artificial Neural Networks

Автор: Sied Mehdi Fakhraie; Kenneth C. Smith
Название: VLSI — Compatible Implementations for Artificial Neural Networks
ISBN: 1461378974 ISBN-13(EAN): 9781461378976
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). The work of Professors Fakhraie and Smith, presented in this book, is a welcome addition to the state-of-the-art and will greatly benefit researchers and students working in this area.

Artificial Neural Networks – ICANN 2009

Автор: Cesare Alippi; Marios M. Polycarpou; Christos Pana
Название: Artificial Neural Networks – ICANN 2009
ISBN: 3642042732 ISBN-13(EAN): 9783642042737
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS).

Structure Level Adaptation for Artificial Neural Networks

Автор: Tsu-Chang Lee
Название: Structure Level Adaptation for Artificial Neural Networks
ISBN: 1461367654 ISBN-13(EAN): 9781461367659
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 1 Neuron Generation . 5 Implementation . . . . . 7 Summary . . . . . . . . . 4 Parameter Level Adaptation . 6 Implementation . . 8 Summary . . . . . . . . . . . . . . 1 Basic Properties . . . . . . . 4 Performance Comparison . . . . 4 Summary . . . . . . . . . . . . . . . . . 1 Kolmogorov`s Theorem . 1 Measure Construction . 2 Energy Function . .

Artificial Neural Networks and Machine Learning -- ICANN 2013

Автор: Valeri Mladenov; Petia Koprinkova-Hristova; G?nthe
Название: Artificial Neural Networks and Machine Learning -- ICANN 2013
ISBN: 3642407277 ISBN-13(EAN): 9783642407277
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

Artificial Neural Networks in Hydrology

Автор: R.S. Govindaraju; A.R. Rao
Название: Artificial Neural Networks in Hydrology
ISBN: 9048154219 ISBN-13(EAN): 9789048154210
Издательство: Springer
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Цена: 26120.00 р.
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Описание: , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron.

Artificial Neural Networks

Автор: Petia Koprinkova-Hristova; Valeri Mladenov; Nikola
Название: Artificial Neural Networks
ISBN: 3319099027 ISBN-13(EAN): 9783319099026
Издательство: Springer
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Цена: 34937.00 р.
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Описание:

The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

Artificial Neural Networks in Pattern Recognition

Автор: Schwenker
Название: Artificial Neural Networks in Pattern Recognition
ISBN: 3319461818 ISBN-13(EAN): 9783319461816
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.

Artificial Neural Networks

Автор: da Silva
Название: Artificial Neural Networks
ISBN: 3319431617 ISBN-13(EAN): 9783319431611
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios.

Artificial Neural Networks and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447807 ISBN-13(EAN): 9783319447803
Издательство: Springer
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Цена: 10342.00 р.
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Описание: The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions.

Foreign-Exchange-Rate Forecasting with Artificial Neural Networks

Автор: Lean Yu; Shouyang Wang; Kin Keung Lai
Название: Foreign-Exchange-Rate Forecasting with Artificial Neural Networks
ISBN: 1441944044 ISBN-13(EAN): 9781441944047
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting.


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