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The Study Of Prediction-controlling Based On Artificial Neural Network

Posted on:2004-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:X Y RuFull Text:PDF
GTID:2168360122992214Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In petroleum chemic industry, device is synthetic and complicated. Its operating parameters are interacted and related one another. So, any one changed irrationally, the device would be affected. With a number of parameters, it is difficult to make petroleum chemic device optimum, only on artificial adjustment.Prediction-controlling is a optimum controlling method constrained multiple variables. Since 1970's, it is applied to petroleum chemic industry widely.About complicated and nonlinear system, the model of Prediction-controlling is not perfect.With back promulgated neural network, a nonlinear model of double linear system is set forth in this paper. It would be used in single- value-Prediction-controlling.
Keywords/Search Tags:Petroleum-chemic-industry, Parameters, Prediction-controlling, Back-Promulgate neural network
PDF Full Text Request
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