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A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction

Various computational intelligence techniques have been used in the prediction of petroleum reservoir properties. However, each of them has its limitations depending on different conditions such as data size and dimensionality. Hybrid computational intelligence has been introduced as a new para...

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書誌詳細
主要な著者:	Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
フォーマット:	E-Article
言語:	English
出版事項:	Springer London 2013
主題:	T Technology (General)
オンライン･アクセス:	http://ir.unimas.my/id/eprint/8469/1/A%20least-square-driven%20functional%20networks%20type-2%20fuzzy%20logic%20hybrid%20model%20for%20efficient%20petroleum%20reservoir%20properties%20prediction%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/8469/ http://link.springer.com/article/10.1007%2Fs00521-012-1298-2
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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