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- W2386920007 abstract "With the use of artificial neural network “back propagation model, the situs structure of neural network is established and the learning algorithm is designed. The main factors of influence of casing intensity in the shot hole area which is been systemic input, the prediction model of influence coefficient K is obtained by determining the relation between coefficient K and the inputted influence factors. The results of example show that the established model is accurate, reliable and effective in the prediction of casing intensity." @default.
- W2386920007 created "2016-06-24" @default.
- W2386920007 creator A5069450528 @default.
- W2386920007 date "2004-01-01" @default.
- W2386920007 modified "2023-09-26" @default.
- W2386920007 title "APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PREDICTION OF INFLUENCE OF PERFORATION ON THE PERFORATED CASING INTENSITY" @default.
- W2386920007 hasPublicationYear "2004" @default.
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