Titlebook: Artificial Intelligent Approaches in Petroleum Geosciences; Constantin Cranganu,Henri Luchian,Mihaela Elena Br Book 20151st edition Spring

忙碌

Das praktische Arbeiten mit der Feile,e samples to solve numerical and combinatorial problems are given. The fourth section is dedicated to the use of EC techniques in data analysis. Optimization of the hyper-parameters of conventional machine learning techniques is illustrated by a case study. The last section reviews applications of meta-heuristics in geosciences.

雪崩

On Meta-heuristics in Optimization and Data Analysis. Application to Geosciences,e samples to solve numerical and combinatorial problems are given. The fourth section is dedicated to the use of EC techniques in data analysis. Optimization of the hyper-parameters of conventional machine learning techniques is illustrated by a case study. The last section reviews applications of meta-heuristics in geosciences.

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Book 20151st editionnd petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths

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屈尊

Das praktische Arbeiten mit der Feile,, ANN structure), feed-forward ANN, backpropagation and learning (perceptrons and backpropagation, multilayer ANNs and backpropagation algorithm), data processing by ANN (training, over-fitting, testing, validation), ANN and statistical parameters, an applied example of ANN, and applications of ANN in geoscience and petroleum Engineering.

GUEER

Blickrichtungen auf Potentiale des Dialogs,the relationship which may exist between the well log data and core permeability. This study overviews the different artificial intelligent methods in permeability prediction with advantage of each method. Finally, some suggestions and comments to choose the best method are introduced.

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結合

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Permeability Estimation in Petroleum Reservoir by Meta-heuristics: An Overview,the relationship which may exist between the well log data and core permeability. This study overviews the different artificial intelligent methods in permeability prediction with advantage of each method. Finally, some suggestions and comments to choose the best method are introduced.

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