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METHOD FOR DETERMINING ORE GRADE USING ARTIFICIAL NEURAL NETWORK IN A RESERVE ESTIMATION
METHOD FOR DETERMINING ORE GRADE USING ARTIFICIAL NEURAL NETWORK IN A RESERVE ESTIMATION
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机译:储量估算中基于人工神经网络的矿石品位确定方法
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#$%^&*AU2019101145A420191031.pdf#####ABSTRACT A method for implementing an ore grade estimation in a reserve estimation is described. The method comprises developing training data by performing a calculation on an initial set of input relating to geological features to obtain corresponding output data; training artificial neural network ("ANN") to perform the calculation using the training data; and using the trained ANN to perform the calculation on a second set of input data to obtain corresponding output data for use by the reserve estimation.5 100 104 104 102 102 108 106 106 16106 --------------- ----------------------------- -------- ---106 Figure 1. 208 200 SUPERVISE LERANING20 2086 WEIGTH ADJUSTMENT 202 201 720 DATA ARTIFICIAL NEURAL NETWORK ERROR (TA Figure 1. 300 302 201 304 (TRAINED) Fir 3.CIALNEURALNEORK) Figure 3.
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