История
+7(495) 980-12-10
  10:00-18:00 пн-сб
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
  Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Специальные предложения | Бестселлеры
 
 
Вход в систему
Книги
Информация
Читайте отзывы покупателей и оценивайте качество магазина на Яндекс.Маркете
Online Каталоги
Каталог учебной литературы
по английскому языку >>>

Каталог учебной литературы
по английскому языку >>>


Deterministic Learning Theory for Identification, Control, and Recognition, Cong Wong and David J. Hill

Варианты приобретения
Цена: 12331р.
Кол-во:
 о цене
Наличие: Отсутствует. 
Возможна поставка под заказ. Дата поступления на склад уточняется после оформления заказа


Добавить в корзину
в Мои желания
Автор: Cong Wong and David J. Hill
Название:  Deterministic Learning Theory for Identification, Control, and Recognition
Издательство: Taylor&Francis
Классификация:
Искусственный интеллект

ISBN: 0849375533
ISBN-13(EAN): 9780849375538
ISBN: 0-8493-7553-3
ISBN-13(EAN): 978-0-8493-7553-8
Обложка/Формат: Hardback
Страницы: 248
Вес: 0.508 кг.
Дата издания: 15.01.2009
Серия: Automation and control engineering series
Язык: ENG
Иллюстрации: 147 black & white illustrations
Размер: 235 x 156 x 20
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Offers systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. This book begins with an introduction to the concepts of deterministic learning theory, followed by a discussion of RBF networks. It also presents applications to areas such as ECG/EEG pattern recognition.



Deterministic and Statistical Methods in Machine Learning / First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

Автор: Winkler Joab, Lawrence Neil, Niranjan Mahesan
Название: Deterministic and Statistical Methods in Machine Learning / First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures
ISBN: 3540290737 ISBN-13(EAN): 9783540290735
Издательство: Springer
Рейтинг:
Цена: 6544 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book consitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004.The 19 revised full papers presented were carefully reviewed and selected for inclusion in the book. They address all current issues in the rapidly maturing field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling. The particular focus of the workshop was advanced research methods in machine learning and statistical signal processing.

Fuzzy Logic, Identification and Predictive Control

Автор: Espinosa Jairo, Vandewalle Joos, Wertz Vincent
Название: Fuzzy Logic, Identification and Predictive Control
ISBN: 1852338288 ISBN-13(EAN): 9781852338282
Издательство: Springer
Цена: 15728 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" responses, circumstances where an imprecise linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious in this form of expert control system.Divided into two parts, Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real-world industrial systems and simulations. The second part demonstrates the exploitation of such models to design control systems employing techniques like data mining.Fuzzy Logic, Identification and Predictive Control is a comprehensive introduction to the use of fuzzy methods in many different control paradigms encompassing robust, model-based, PID-like and predictive control. This combination of fuzzy control theory and industrial serviceability will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Cost-Benefit Analysis and the Theory of Fuzzy Decisions / Identification and Measurement Theory

Автор: Dompere Kofi K.
Название: Cost-Benefit Analysis and the Theory of Fuzzy Decisions / Identification and Measurement Theory
ISBN: 3540221549 ISBN-13(EAN): 9783540221548
Издательство: Springer
Рейтинг:
Цена: 18232 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph is devoted to the identification and measurement theory of costs and benefits in a fuzzy information environment. The process of cost-benefit analysis is presented, requiring the development of real cost-benefit databases and the construction of cost-benefit criterion. These steps are accomplished with various theoretical constructs that provide sets of self-contained algorithms for application. This book integrates cost-benefit analysis, theory of fuzzy decisions and social decisions into unified decision algorithms accessible to practitioners, researchers, and graduate students. It features the essentials of fuzzy mathematics and algorithms in a comprehensive way, exposing a multi-disciplinary approach for the development of cost-benefit decision making in the framework of fuzziness and soft computing.

Nonlinear Identification and Control / A Neural Network Approach

Автор: Liu G.P.
Название: Nonlinear Identification and Control / A Neural Network Approach
ISBN: 1852333421 ISBN-13(EAN): 9781852333423
Издательство: Springer
Рейтинг:
Цена: 14024 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It consists of three parts:- an introduction to the fundamental principles of neural networks;- several methods for nonlinear identification using neural networks;- various techniques for nonlinear control using neural networks.A number of simulated and industrial examples are used throughout the monograph to demonstrate the operation of nonlinear identification and control techniques using neural networks. It should be emphasised that the methods and systems of nonlinear control have not progressed as rapidly as those for linear control. Comparatively speaking, at the present time, they are still in the development stage. We believe that the fundamental theory, various design methods and techniques, and several applications of nonlinear identification and control using neural networks that are presented in this monograph will enable the reader to analyse and synthesise nonlinear control systems quantitatively.


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