A composition prediction method of lead-zinc sintered block
A composition prediction and sintering technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of composition detection data lag, need to wait until 3 to 4 hours before knowing, and has little guiding value, etc. problems, to achieve the effect of improving the pass rate
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[0050] An embodiment of the present invention includes the following steps:
[0051] A. Establish the RBF-AR model of the composition of lead-zinc agglomerates
[0052]
[0053] where y(t+1) is the predicted t+1 The composition value of the lead-zinc sinter at time, t is the current time, t-1, ..., t-n y +1 is the historical moment, y(t) is the current value of the collected lead-zinc agglomerates, y(t-1), ..., y(t-n y +1) is the historical value of the collected lead-zinc agglomerates, e(t) is white noise, n y is the order corresponding to y, h is the number of layers of the RBF neural network, X(t) is the state dependent variable, X(t)=[y(t)] T ,
[0054] c 0 ,...,c m ,a k,0 ,...,a k,m ,z m,1 ,λ m ,m=1,2,...h,k=1,2,...,n y for
[0055] Parameters of the RBF-AR model of the composition of lead-zinc agglomerates;
[0056] B. Set up multiple sets of different n y and the value of h, each group of n is identified by the Levenberg-Marquardt algorithm, respectively ...
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