Accuracy Improvements in Linguistic Fuzzy Modeling, Jorge Casillas; O. Cord?n; Francisco Herrera Trigu

Автор: Rudolf Seising; Luis Arg?elles M?ndez
Название: Accuracy and Fuzziness. A Life in Science and Politics
ISBN: 3319358715 ISBN-13(EAN): 9783319358710
Издательство: Springer
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Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, which goes far beyond a traditional collection of technical articles, is dedicated to Enric Trillas, a fuzzy systems pioneer but also an internationally renowned researcher in other areas of science, such as mathematics and aerospace, and an outstanding manager of scientific affairs in Spain.

Автор: Olli Mali; Pekka Neittaanm?ki; Sergey Repin
Название: Accuracy Verification Methods
ISBN: 9402404988 ISBN-13(EAN): 9789402404982
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book presents recent trends and advances in the theory of directly computable error estimates (error indicators). It discusses the corresponding numerical algorithms in the context of various typical models in engineering and scientific computations.

Автор: Medez, Luis Arguelles
Название: Accuracy and fuzziness. a life in science and politics
ISBN: 3319186051 ISBN-13(EAN): 9783319186054
Издательство: Springer
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Цена: 148020.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, which goes far beyond a traditional collection of technical articles, is dedicated to Enric Trillas, a fuzzy systems pioneer but also an internationally renowned researcher in other areas of science, such as mathematics and aerospace, and an outstanding manager of scientific affairs in Spain.

Автор: Olli Mali; Pekka Neittaanm?ki; Sergey Repin
Название: Accuracy Verification Methods
ISBN: 9400775806 ISBN-13(EAN): 9789400775800
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent trends and advances in the theory of directly computable error estimates (error indicators). It discusses the corresponding numerical algorithms in the context of various typical models in engineering and scientific computations.

Автор: Kovacs, Tim
Название: Strength or accuracy: credit assignment in learning classifier systems
ISBN: 1447110587 ISBN-13(EAN): 9781447110583
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Classifier systems are an intriguing approach to a broad range of machine learning problems, based on automated generation and evaluation of condi tion/action rules.