Neural Networks in Optimization, Xiang-Sun Zhang

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Автор: Gurney, Kevin
Название: Introduction to neural networks
ISBN: 1857285034 ISBN-13(EAN): 9781857285031
Издательство: Taylor&Francis
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Цена: 71450.00 T
Наличие на складе: Невозможна поставка.
Описание: Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; and gradient descent methods.

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 96090.00 T
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Автор: Stefan Wermter; Cornelius Weber; Wlodzislaw Duch;
Название: Artificial Neural Networks and Machine Learning -- ICANN 2014
ISBN: 3319111787 ISBN-13(EAN): 9783319111780
Издательство: Springer
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Цена: 89440.00 T
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Описание: The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks;

Автор: Rafik Aziz Aliev; Babek Ghalib Guirimov
Название: Type-2 Fuzzy Neural Networks and Their Applications
ISBN: 3319090712 ISBN-13(EAN): 9783319090719
Издательство: Springer
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Цена: 79190.00 T
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Описание: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing.

Автор: Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Ve
Название: Artificial Neural Networks and Machine Learning – ICANN 2017
ISBN: 3319686119 ISBN-13(EAN): 9783319686110
Издательство: Springer
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Цена: 102480.00 T
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Описание: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions.

Автор: Giacomo Boracchi; Lazaros Iliadis; Chrisina Jayne;
Название: Engineering Applications of Neural Networks
ISBN: 3319651714 ISBN-13(EAN): 9783319651712
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions.

Автор: Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-
Название: Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
ISBN: 9811049068 ISBN-13(EAN): 9789811049064
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion 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: 232910.00 T
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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.

Автор: Maciej Krawczak
Название: Multilayer Neural Networks
ISBN: 3319002473 ISBN-13(EAN): 9783319002477
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book shows that a multilayer neural network can be considered as a multistage system, and that the learning of this class of neural networks can be treated as a special sort of the optimal control problem.

Автор: Lazaros Iliadis; Chrisina Jayne
Название: Engineering Applications of Neural Networks
ISBN: 3319239813 ISBN-13(EAN): 9783319239811
Издательство: Springer
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Цена: 61490.00 T
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Описание: This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. intelligent medical modeling; life-earth sciences intelligent modeling; intelligent telecommunications modeling; financial intelligent modeling;

Автор: Gerasimos G. Rigatos
Название: Advanced Models of Neural Networks
ISBN: 3662515571 ISBN-13(EAN): 9783662515570
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks.