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| A NEURAL NETWORK APPROACH TO AUTOMATIC ENCLOSING OF OREBODY ON HORIZONTAL PLANE |
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| DOI： |
| KeyWord:Orebody enclosing,Neural network,Neural calculation, |
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| Xi'an University of Architecture & Technology |
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| Abstract: |
| In this paper, the neural network theory is used to put forward a new method of automatic enclosing of orebody on horizontal plane. In this method, a multilayer feedforward neural network model with strong mapping, associating, generalizing and summarizing abilities which includes input layer, middle processing layers, output layer and training layer, is established. For accurate estimation of the information for unknown points,the following information, such as the space position of the point to be estimated, the data about ore and rock on given control points, geologic structure data,etc,is collected from the control points adjacent to the unknown point. The data of given control points are used to train the neural network repeatedly, making the network fully grasping the distribution characterstics of ore and rock. Finally the automatic enclosing of orebody is fulfilled based on the information collected from the estimation of a large number of the points with smaller interval distance. |
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