Artificial Intelligence for Financial Markets, Barrau
Автор: Barrau Название: Artificial Intelligence for Financial Markets ISBN: 3030973212 ISBN-13(EAN): 9783030973216 Издательство: Springer Рейтинг: Цена: 14952.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the novel artificial intelligence technique of polymodels and applies it to the prediction of stock returns. The idea of polymodels is to describe a system by its sensitivities to an environment, and to monitor it, imitating what a natural brain does spontaneously. In practice this involves running a collection of non-linear univariate models. This very powerful standalone technique has several advantages over traditional multivariate regressions. With its easy to interpret results, this method provides an ideal preliminary step towards the traditional neural network approach. The first two chapters compare the technique with other regression alternatives and introduces an estimation method which regularizes a polynomial regression using cross-validation. The rest of the book applies these ideas to financial markets. Certain equity return components are predicted using polymodels in very different ways, and a genetic algorithm is described which combines these different predictions into a single portfolio, aiming to optimize the portfolio returns net of transaction costs. Addressed to investors at all levels of experience this book will also be of interest to both seasoned and non-seasoned statisticians.
Описание: Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.
Описание: This volume includes the best papers of the 10th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. The conference was held in Daegu, Korea on May 27-29, 2009.
Автор: Peng Wen; Yuefeng Li; Lech Polkowski; Yiyu Y. Yao; Название: Rough Sets and Knowledge Technology ISBN: 3642029612 ISBN-13(EAN): 9783642029615 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 4th International Conference RSKT 2009 Gold Coast Australia July 1416 2009 Proceedings. .
Описание: Petr Hajek shows that reasoning in fuzzy logic may be put on a strict logical (formal) basis, so contributing to our understanding of what fuzzy logic is and what one is doing when applying fuzzy reasoning.
Описание: This work presents an artificial intelligence approach to top-down floorplanning of integrated circuits (IC). The approach divides the floorplanning process into separate knowledge-based and algorithmic tasks. This enables the use of IC specialized knowledge to drive sophisticated algorithms.
Описание: A volume of proceedings based on an international conference concerned with the industrial and engineering applications of artificial intelligence. The papers discuss fuzzy logic and control, robotics, CAD, computer vision, architecture, fault diagnosis and much more.
Автор: David Pearce; Heinrich Wansing Название: Nonclassical Logics and Information Processing ISBN: 3540557458 ISBN-13(EAN): 9783540557456 Издательство: Springer Рейтинг: Цена: 4890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the proceedings of a workshop held at the Free University of Berlin in November 1990, which discussed various subfields of logic and its applications in artificial intelligence. Papers examine modal systems, logic programming, nonmonotonic logics and proof theory.
Автор: Gerhard Brewka; Klaus P. Jantke; Peter H. Schmitt Название: Nonmonotonic and Inductive Logic ISBN: 3540564330 ISBN-13(EAN): 9783540564331 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a selection of extended papers that were presented at the 2nd International Workshop on Nonmonotonic and Inductive Logic, held at Reinhardsbrunn Castle, Germany, in December 1991. Emphasis was placed on the fields of inductive inference and nonmonotonic reasoning.
Автор: Erich P. Klement; Wolfgang Slany Название: Fuzzy Logic in Artificial Intelligence ISBN: 3540569200 ISBN-13(EAN): 9783540569206 Издательство: Springer Рейтинг: Цена: 4890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the proceedings of the 8th Austrian Artificial Intelligence Conference, held in Linz in June 1993. It includes invited papers on the role of fuzzy logic in the conception and design of intelligent systems and a contextual approach for AI systems development.
Автор: Dimiter Driankov; Peter W. Eklund; Anca L. Ralescu Название: Fuzzy Logic and Fuzzy Control ISBN: 3540582797 ISBN-13(EAN): 9783540582793 Издательство: Springer Рейтинг: Цена: 6567.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains a selection of research papers presented at the Workshop on Fuzzy Logic and Fuzzy Control, held in Sydney, Australia in August 1991. The work is divided into sections on fuzzy reasoning, fuzzy neural networks, fuzzy control applications, fuzzy logic planning and fuzzy circuits.
Описание: Presenting papers from the IEEE/Nagoya-University World Wisepersons Workshop, this volume covers the combination of fuzzy logic and neural networks. It looks at how to combine fuzzy logic and genetic algorithms, and includes challenging applications of fuzzy systems and of fuzzy-genetic algorithms.
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