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 Applications of Bayesian Classifiers. Uncertainty Modeling, Global Optimization, and Solid Mechanics Problems
Наименование:

Applications of Bayesian Classifiers. Uncertainty Modeling, Global Optimization, and Solid Mechanics Problems

автор Haoyang L. издательство Книга по Требованию Прочие виды транспорта
Cтраниц 144        мягкая обложка       
Аннотация:In design optimization applications, Bayesian classification tree is used to generate high-performing design alternatives. In this book, it is shown how pattern recognition approaches developed in computer science can be seamlessly combined with statistical techniques to produce a knowledge driven search algorithm. In applications involving spatially random properties, the classification tree provides pattern-based features that can be used to identify regions of a system with desirable or undesirable local properties. The second is in the structural mechanics of systems with spatially random properties. The theories and example applications should be especially useful to researchers and professionals in the field of uncertainty modeling and design optimization. The first class of applications is in global design optimization. Two different classes of applications are used to demonstrate the wide applicability of the algorithm.
Автор: Haoyang L.
Издательство: Книга по Требованию
Год:2008
Цена:
2415 руб
Нет в наличии
Поиск: Applications of Bayesian Classifiers. Uncertainty Modeling, Global Optimization, and Solid Mechanics Problems
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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