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The essence of traditional ANN algorithm is to transfer the input-output problem of a group sample into a nonlinear programming problem. And it is a learning method to use iteration to work out weight problem along the negative gradient direction, but its convergence rate is slow and it is easy to fall into local minimum. Previously, there are many improved(More)
—first of all, by defining low-grade reservoir in this paper, we evaluate and quantitatively analyze operational risks of the untapped low-grade reservoir and classify the operational risks. Then, through introducing the probability analysis method and combining with the low-grade reservoir operation, we establish the operational risk assessment model of(More)
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