www.primalis.ru

Бровада

Arjun C .R. Neural Network-Based Estimation of Strong Ground Motion Parameters

Рубрики: Культура

Arjun C .R. Neural Network-Based Estimation of Strong Ground Motion Parameters

скачать

Traditionally, ground motion prediction equations are developed using statistical regression analyses. Statistics of the results presented indicate that artificial neural network is capable of learning and representing the local variations quite accurately. Ground motion prediction equations are derived for estimating strong ground motion parameters. This... Multi-layer perceptron neural network models with back-propagation learning scheme have been developed to predict strong ground motion parameters that are of primary significance in earthquake engineering using the actual seismic data without any simplification and assumptions. This book presents a very promising application of the powerful and versatile neural network approach to the derivation of ground motion prediction equations using Japanese earthquake records and site characteristics. Seismic evaluation of existing facilities and design of earthquake-resistant structures requires estimation of strong ground motion parameters.

Стоимостные методы оценки эффективности менеджмента компании: Учебное пособие

Тополь Э. Братство Маргариты

Книги Издательство АСТ Герой ее романа

Юлия Титаренко und Иван Чуканов Женское образование в дореволюционной России

Updike J. Rabbit at Rest

Отзывов (1) на «Arjun C .R. Neural Network-Based Estimation of Strong Ground Motion Parameters»

  1. alla.anik:

    Бац, я совершенно другого мнения о каких встречах.

Все права защищены 2017 www.primalis.ru

wordpress темы