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The Research Of Information Fusion Based On Neural Network And D-S Evidential Theory

Posted on:2006-07-03Degree:MasterType:Thesis
Country:ChinaCandidate:B F BianFull Text:PDF
GTID:2132360155950139Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
How to exactly measure the coal mass of pulverizer in fossil power plant is one of primary causes that the efficiency of milling control is low and the automation is difficult to running. Aiming at the limitation of evidential theory, As the neural network has self-organize, self-learn, collateral distributing manage, strong fault tolerant and robustness, we combined the evidential theory and the neural network and put forward a two-step fusion method. We can get the scale and the variety trend of the coal mass with this two-step fusion method. This would supply the effective guarantee to the automation and running of the ball milling plant.
Keywords/Search Tags:information fusion, neural network, D-S evidence theory
PDF Full Text Request
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