Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Artificial Higher Order Neural Networks for Modeling and Simulation, Ming Zhang


Варианты приобретения
Цена: 28413.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до:
Ориентировочная дата поставки:
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Ming Zhang
Название:  Artificial Higher Order Neural Networks for Modeling and Simulation
ISBN: 9781466621756
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1466621753
Обложка/Формат: Hardcover
Страницы: 323
Вес: 1.34 кг.
Дата издания: 30.11.2012
Серия: Computing & IT
Язык: English
Иллюстрации: 1, black & white illustrations
Размер: 282 x 221 x 31
Читательская аудитория: Professional and scholarly
Ключевые слова: Artificial intelligence
Рейтинг:
Поставляется из: Англии
Описание: Artificial Higher Order Neural Networks for Modeling and Simulation introduces artificial Higher Order Neural Networks (HONNs) to professionals working in the fields of modeling and simulation, and explains that HONN is an open-box artificial neural network tool as compared to traditional artificial neural networks. Including details of the most popular HONN models, this book provides an opportunity for practitioners in the field of modeling and simulations to understand and know how to use HONNS in their area of expertise.


Applied Artificial Higher Order Neural Networks for Control and Recognition

Автор: Zhang Ming
Название: Applied Artificial Higher Order Neural Networks for Control and Recognition
ISBN: 1522500634 ISBN-13(EAN): 9781522500636
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 31324.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless.Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.

Blind Equalization in Neural Networks

Автор: Zhang Tsinghua University Press Liyi
Название: Blind Equalization in Neural Networks
ISBN: 3110449625 ISBN-13(EAN): 9783110449624
Издательство: Walter de Gruyter
Цена: 18586.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.

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: 22401.00 р.
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
Artificial Neural Networks for Engineering Applications

Автор: Alanis, Alma
Название: Artificial Neural Networks for Engineering Applications
ISBN: 0128182474 ISBN-13(EAN): 9780128182475
Издательство: Elsevier Science
Рейтинг:
Цена: 17180.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Hoe bestuur je een wendbare organisatie, of beter, hoe bestuur je een organisatie naar een blijvende wendbare organisatie?¢ Ben jij lid van het Managementteam (MT) of lid van de directie die de noodzaak tot verandering in besturing ziet, die de urgentie voelt om daar iets aan te doen en gehoor hiervoor wil vinden bij de collega leden van het MT of directie? ¢ Ben jij een coach in een organisatie die beweging richting een wendbare organisatie vooral bottom up ziet groeien, een beweging waar je de top down beweging aan toe wil voegen?. In deze pocketguide vind je een praktische methode hoe dit aan te pakken. Besturen in een steeds sneller veranderende wereld. Met de waan van de dag die vaak veel aandacht vraagt en die je kan afleiden van de te behalen resultaten. De auteurs gaan in op het operationaliseren van de strategische organisatiedoelen en daarmee het besturen van de gehele organisatie. De stellingname van dit boek is: maak scherp wat dit kwartaal bereikt moet worden om de strategische doelen te bereiken. Stuur kort cyclisch om te kunnen reageren op veranderende klantwensen of gewijzigde wet- en regelgeving. Werk samen als managementteam of directie richting dje strategische doelen en voorkom dat iedereen in de organisatie vooral een eigen doel nastreeft. Breng meer focus in de operationalisering van de strategie, minder met "brandjes" bezig zijn en meer met het voorkomen ervan. Krijg snel helder wat je medewerkers belemmert in hun werk. Lukt het om de belemmeringen in jouw organisatie snel op te lossen? De kern van deze pocketguide betreft het FOCUS- bord. Deze manier van visual management is een krachtig middel in de besturing. De toepassing ervan zorgt voor samenwerking tussen alle lagen in de organisatie, kort cyclisch sturen en focus op het behalen van de strategische doelen.

Toward Deep Neural Networks

Автор: Zhang
Название: Toward Deep Neural Networks
ISBN: 1138387037 ISBN-13(EAN): 9781138387034
Издательство: Taylor&Francis
Рейтинг:
Цена: 19140.00 р.
Наличие на складе: Поставка под заказ.

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.

Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

Автор: Jan Treur
Название: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
ISBN: 3030314448 ISBN-13(EAN): 9783030314446
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия