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Innovations in ART Neural Networks, Beatrice Lazzerini; Ugur Halici


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Автор: Beatrice Lazzerini; Ugur Halici
Название:  Innovations in ART Neural Networks
ISBN: 9783790824698
Издательство: Springer
Классификация:


ISBN-10: 3790824690
Обложка/Формат: Paperback
Страницы: 258
Вес: 0.39 кг.
Дата издания: 21.10.2010
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 234 x 156 x 15
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: We have not witnessed such a large degree of evolution in any other artificial neural network as in the Adaptive Resonance Theory (ART) neural network. Interested readers may refer literature for many more innovations in ART such as Fuzzy ART, ART2, ART2-a, ARTMAP, ARTMAP-PI, ARTMAP-DS, Gaussian ARTMAP, EXACT ART, and ART-EMAP.

Innovations in Neural Information Paradigms and Applications

Автор: Monica Bianchini; Marco Maggini; Franco Scarselli
Название: Innovations in Neural Information Paradigms and Applications
ISBN: 3642040020 ISBN-13(EAN): 9783642040023
Издательство: Springer
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Цена: 153720.00 T
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Описание: Presenting the fundamentals and practical applications of neural information systems, this volume presents the recent developments in the field. Self-organizing structures, neural grammar networks and model complexity are among the many topics discussed.

Engineering Applications of Neural Networks

Автор: Jayne
Название: Engineering Applications of Neural Networks
ISBN: 3319441876 ISBN-13(EAN): 9783319441870
Издательство: Springer
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Цена: 63350.00 T
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Описание: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.

Innovations in Bayesian Networks

Автор: Dawn E. Holmes
Название: Innovations in Bayesian Networks
ISBN: 3642098754 ISBN-13(EAN): 9783642098758
Издательство: Springer
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Цена: 174130.00 T
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Описание: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in this field.

Innovations in Bayesian Networks

Автор: Dawn E. Holmes
Название: Innovations in Bayesian Networks
ISBN: 3540850651 ISBN-13(EAN): 9783540850656
Издательство: Springer
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Цена: 191560.00 T
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Описание: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in this field.

Vlsi for neural networks and artificial intelligence

Название: Vlsi for neural networks and artificial intelligence
ISBN: 1489913335 ISBN-13(EAN): 9781489913333
Издательство: Springer
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Цена: 153720.00 T
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Описание: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence.

Neural Networks and Qualitative Physics

Автор: Aubin
Название: Neural Networks and Qualitative Physics
ISBN: 1107402840 ISBN-13(EAN): 9781107402843
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative physics. Professor Aubin makes use of control and viability theory in neural networks and cognitive systems, and set-valued analysis that plays a crucial role in qualitative analysis and simulation.

New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

Автор: Gaxiola
Название: New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
ISBN: 3319340867 ISBN-13(EAN): 9783319340869
Издательство: Springer
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Цена: 56590.00 T
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Описание:

In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.
The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method.
The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ?=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods.
The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.

Neural networks: tricks of the trade

Название: Neural networks: tricks of the trade
ISBN: 364235288X ISBN-13(EAN): 9783642352881
Издательство: Springer
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Цена: 81060.00 T
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Описание: The second edition of the book adds more tricks, arising from fourteen years of work by some of the world`s most prominent researchers. These can substantially improve speed, ease of implementation and accuracy when putting algorithms to work on real problems.

Neural Networks and Speech Processing

Автор: David P. Morgan; Christopher L. Scofield
Название: Neural Networks and Speech Processing
ISBN: 1461367638 ISBN-13(EAN): 9781461367635
Издательство: Springer
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Цена: 148020.00 T
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Описание: We would like to take this opportunity to thank all of those individ- uals who helped us assemble this text, including the people of Lockheed Sanders and Nestor, Inc., whose encouragement and support were greatly appreciated.

Neural Networks with Discontinuous/Impact Activations

Автор: Marat Akhmet; Enes Y?lmaz
Название: Neural Networks with Discontinuous/Impact Activations
ISBN: 1461485657 ISBN-13(EAN): 9781461485650
Издательство: Springer
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Цена: 121890.00 T
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Описание: This monograph examines a wide range of neural networks models with discontinuities, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Advances in Neural Networks: Computational and Theoretical Issues

Автор: Simone Bassis; Anna Esposito; Francesco Carlo Mora
Название: Advances in Neural Networks: Computational and Theoretical Issues
ISBN: 3319181637 ISBN-13(EAN): 9783319181639
Издательство: Springer
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Цена: 148020.00 T
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Описание:

Invited Keynote Papers.- Proceedings Papers.



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