Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence,
Автор: Yuehui Chen; Ajith Abraham Название: Tree-Structure based Hybrid Computational Intelligence ISBN: 3642047386 ISBN-13(EAN): 9783642047381 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Foundations of Computational Intelligence.- Foundations of Computational Intelligence.- Flexible Neural Trees.- Flexible Neural Tree: Foundations and Applications.- Hierarchical Neural Networks.- Hierarchical Neural Networks.- Hierarchical Fuzzy Systems.- Hierarchical Fuzzy Systems.- Reverse Engineering of Dynamical Systems.- Reverse Engineering of Dynamic Systems.- Conclusions and Future Research.- Concluding Remarks and Further Research.
Описание: The text here provides the reader with an in-depth overview and analysis of the fundamental methods and techniques developed following G. Voronoi`s ground-breaking ideas, in the context of the vast and increasingly growing area of computational intelligence.
Автор: Jan Oliver Wallgr?n Название: Hierarchical Voronoi Graphs ISBN: 3642425100 ISBN-13(EAN): 9783642425103 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Is there space when there are objects to occupy it or is there space only when there are no objects to occupy it? These are old philosophical questions that concern the ontology of space in the philosophical sense of `ontology` - what is the nature of space?
Описание: This monograph is dedicated to the systematic presentation of main trends, technologies and methods of computational intelligence (CI). The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN). Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed. The applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method. This monograph also focuses on an inductive modeling method of self-organization – the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms.The distinguishing feature of this monograph is a great number of practical examples of CI technologies and methods application for solution of real problems in technology, economy and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction under uncertainty which were developed by authors and published in this book for the first time. All CI methods and algorithms are presented from the general system approach and analysis of their properties, advantages and drawbacks that enables practitioners to choose the most adequate method for their own problems solution.
Описание: The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques.
Описание: This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc.
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