NEURAL NETWORK PREDICTION OF KARSTIC GROUND COLLAPSE
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Abstract
Applied the principle of neural network theory, a model for prediction karstic ground collapse has been set up though learning some examples of karstic ground collapses. This model was used in prediction of the karstic ground collapses in one city is predicted. The result shows that neural network has high accuracy, fast convergence vate, and high allowable error ability, and it has wide application foreground in the research of karstic ground collapse.
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