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Artificial Neural Networks with Java, Igor Livshin


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Цена: 32600.00T
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Автор: Igor Livshin
Название:  Artificial Neural Networks with Java
ISBN: 9781484244203
Издательство: Springer
Классификация:


ISBN-10: 1484244206
Обложка/Формат: Soft cover
Страницы: 566
Вес: 1.10 кг.
Дата издания: 2019
Язык: English
Издание: 1st ed.
Иллюстрации: 95 illustrations, black and white; xix, 566 p. 95 illus.
Размер: 254 x 178 x 30
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Tools for Building Neural Network Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks.
The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications.
The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily.
What You Will Learn
Prepare your data for many different tasksCarry out some unusual neural network tasksCreate neural network to process non-continuous functionsSelect and improve the development model
Who This Book Is For
Intermediate machine learning and deep learning developers who are interested in switching to Java.

Дополнительное описание:
Chapter 1. Learning Neural Networks.- Chapter 2. Internal Mechanism of Neural Network Processing.- Chapter 3. Manual Neural Network Processing.- Chapter 4. Java Environment and Development Tools for Building Neural Network Applications.- Chapter


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: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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).

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Автор: Kozma, Robert
Название: Artificial Intelligence in the Age of Neural Networks and Brain Computing
ISBN: 0128154802 ISBN-13(EAN): 9780128154809
Издательство: Elsevier Science
Рейтинг:
Цена: 149340.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.

  • Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN)
  • Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making
  • Edited by high-level academics and researchers in intelligent systems and neural networks

Toward Deep Neural Networks

Автор: Zhang
Название: Toward Deep Neural Networks
ISBN: 1138387037 ISBN-13(EAN): 9781138387034
Издательство: Taylor&Francis
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Цена: 127600.00 T
Наличие на складе: Нет в наличии.
Описание: This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors` 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.

Artificial Neural Networks – ICANN 2009

Автор: Cesare Alippi; Marios M. Polycarpou; Christos Pana
Название: Artificial Neural Networks – ICANN 2009
ISBN: 3642042767 ISBN-13(EAN): 9783642042768
Издательство: Springer
Рейтинг:
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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).

Impossible Minds

Название: Impossible Minds
ISBN: 1783265698 ISBN-13(EAN): 9781783265695
Издательство: World Scientific Publishing
Рейтинг:
Цена: 39070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness.

Causality, Correlation and Artificial Intelligence for Rational Decision Making

Автор: Marwala Tshilidzi
Название: Causality, Correlation and Artificial Intelligence for Rational Decision Making
ISBN: 9814630861 ISBN-13(EAN): 9789814630863
Издательство: World Scientific Publishing
Рейтинг:
Цена: 92930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.


Impossible Minds: My Neurons, My Consciousness (Revised Edition)

Автор: Aleksander Igor
Название: Impossible Minds: My Neurons, My Consciousness (Revised Edition)
ISBN: 178326568X ISBN-13(EAN): 9781783265688
Издательство: World Scientific Publishing
Рейтинг:
Цена: 85530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness.

Revolutions Of Scientific Structure, The

Автор: Hales Colin G
Название: Revolutions Of Scientific Structure, The
ISBN: 9814616249 ISBN-13(EAN): 9789814616249
Издательство: World Scientific Publishing
Цена: 116160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses two main cultural problems behind the failure of machine consciousness and artificial general intelligence (AGI) projects over many decades.

Artificial Neural Networks in Pattern Recognition

Автор: Schwenker
Название: Artificial Neural Networks in Pattern Recognition
ISBN: 3319461818 ISBN-13(EAN): 9783319461816
Издательство: Springer
Рейтинг:
Цена: 54040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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 and Machine Learning – ICANN 2016

Автор: Villa
Название: Artificial Neural Networks and Machine Learning – ICANN 2016
ISBN: 3319447777 ISBN-13(EAN): 9783319447773
Издательство: Springer
Рейтинг:
Цена: 68950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Artificial Neural Networks

Автор: da Silva
Название: Artificial Neural Networks
ISBN: 3319431617 ISBN-13(EAN): 9783319431611
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


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