Описание: The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters.
Автор: Emilio Corchado; Juan Manuel Corchado Rodr?guez; A Название: Innovations in Hybrid Intelligent Systems ISBN: 3540749713 ISBN-13(EAN): 9783540749714 Издательство: Springer Рейтинг: Цена: 33401.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This book contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.
Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk Название: Nature-Inspired Design of Hybrid Intelligent Systems ISBN: 3319470531 ISBN-13(EAN): 9783319470535 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.
Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz; Ja Название: Recent Advances on Hybrid Approaches for Designing Intelligent Systems ISBN: 3319051695 ISBN-13(EAN): 9783319051697 Издательство: Springer Рейтинг: Цена: 30039.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems.
Автор: Ajith Abraham; Sang Yong Han; Salah A. Al-Sharhan; Название: Hybrid Intelligent Systems ISBN: 3319272209 ISBN-13(EAN): 9783319272207 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bookis devoted to the hybridization of intelligent systems which is a promisingresearch field of modern computational intelligence concerned with thedevelopment of the next generation of intelligent systems.
Описание: This book presents the latest research in hybrid intelligent systems. It includes 57 carefully selected papers from the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) and the 8th World Congress on Nature and Biologically Inspired Computing (NaBIC 2016), held on November 21-23, 2016 in Marrakech, Morocco.
Автор: Francisco Javier Mart?nez de Pis?n; Rub?n Urraca; Название: Hybrid Artificial Intelligent Systems ISBN: 3319596497 ISBN-13(EAN): 9783319596495 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume constitutes the refereed proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, held in La Rioja, Spain, in June 2017. The 60 full papers published in this volume were carefully reviewed and selected from 130 submissions.
Автор: Oscar Castillo; Patricia Melin; Janusz Kacprzyk Название: Recent Advances on Hybrid Intelligent Systems ISBN: 3642438598 ISBN-13(EAN): 9783642438592 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern and time series recognition, and optimization of complex problems. Covers applications in natural language processing and more.
Автор: Enrique Onieva; Igor Santos; Eneko Osaba; H?ctor Q Название: Hybrid Artificial Intelligent Systems ISBN: 331919643X ISBN-13(EAN): 9783319196435 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume constitutes the proceedings of the 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, held Bilbao, Spain, June 2014. hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.
Автор: Francisco Mart?nez-?lvarez; Alicia Troncoso; H?cto Название: Hybrid Artificial Intelligent Systems ISBN: 3319320335 ISBN-13(EAN): 9783319320335 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thisvolume constitutes the refereed proceedings of the 11th International Conferenceon Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, inApril 2016. The 63full papers published in this volume were carefully reviewed and selected from150 submissions.
Автор: Rajiv Khosla Название: Engineering Intelligent Hybrid Multi-Agent Systems ISBN: 079239982X ISBN-13(EAN): 9780792399827 Издательство: Springer Рейтинг: Цена: 25149.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Comprising papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems, the articles in this book are divided into four main parts that cover important research areas such as fuzzy and bio-inspired problem-solving models.
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