April 2021
Intermediate to advanced
476 pages
12h 36m
English
This chapter initially covers the definition and main elements of artificial neural networks and how they were originally developed from the behavior of biological neurons. Then the theory behind how neural network finds the pattern between input and target variables is explained. In this section, nodes, weights, layers, activation functions, feedforward, backpropagation, and steps required to train a neural network are reviewed. After understanding the basics, a summary of neural network applications in oil and gas industry is illustrated. Two Python applications of data preprocessing, feature ranking and training neural networks for oil and gas–related problems, are presented. In the first ...
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