Sanding Prediction : Data Mining Approach

Zhang Yon · West-china Exploration Engineering · 2003

Data Mining theory is introduced to predict the sanding which is difficult to solve with traditional methods. Two artificial neural network algorithms, simple competitive algorithm and solf-organized mapping algorithm are presented in this paper.They are suitable for clustering data mining. An instance is provided to demonstrate the application of data mining. It shows that five out of eight is correct in the application.

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