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With the novel Radial Basis Function neural network model based on immune principles, 13 parameters of 42 wells out of 51 are used as the input samples and the ...
Optimizing fracturing design with a RBF neural network based on ...
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With the novel Radial Basis Function neural network model based on immune principles, 13 parameters of 42 wells out of 51 are used as the input samples and the ...
The factors affecting performance of fractured wells are analyzed in this work. The static and dynamic geologic data of fractured well and fracturing ...
Optimizing Fracturing Design with a RBF Neural Network based on immune principles. Hong Liu, Guoyun Wu. School of Petroleum Engineering. Chongqing University ...
Mar 11, 2011 · ... Radial Basis Function neural network model based on immune principles has less calculation, high precision and good generalization ability.
With the novel RBF neural network model based on immune principles, the 13 parameters of 42 wells out of 51 were used as the input samples and the stimulation ...
Optimizing fracturing design with a RBF neural network based on immune principles. Liu, Hong, Wu, Guoyun, Wang, Tianyou, Wang, Xiaolu.
With the novel RBF neural network model based on immune principles, the 13 parameters of 42 wells out of 51 were used as the input samples and the stimulation ...
Hong Liu's 6 research works with 16 citations, including: Optimizing Fracture Design Based on a Novel RBF Neural Network.
A novel RBF neural network model based on immune principles is presented, simulation study proves that the method has less calculation, high precision and good ...