Hydrological Data Driven Modelling A Case Study Approach - AQA1! オンラインショッピング

【電子書籍なら、スマホ・パソコンの無料アプリで今すぐ読める！】

This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.画面が切り替わりますので、しばらくお待ち下さい。
※ご購入は、楽天kobo商品ページからお願いします。
※切り替わらない場合は、こちらをクリックして下さい。
※このページからは注文できません。

この商品の詳細を調べる

: 本・雑誌・コミック » 洋書 » COMPUTERS ＆ SCIENCE