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Applation Of Neural Network In Inverse Heat Conduction

Posted on:2004-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:P YangFull Text:PDF
GTID:2132360092486222Subject:Thermal Engineering
Abstract/Summary:PDF Full Text Request
This work presents the properties of inverse heat conduction problem and makes some research on the conventional means. After examination the property of artificial neural network, the neural network is applied to the heat transfer realm, by doing so, a new approach to inverse heat conduction problem is brought forward. To verified the validity of the newly proposed algorithm, program is made and the result is prefect, so we can safely drown the conclusion that the algorithm is effective. Moreover the structure of the neural network is further optimized, so the convergence rate of the algorithm is obviously accelerated. At last the robusticity of the algorithm is carefully inspected and the result is perfect, and is worth of research.
Keywords/Search Tags:neural net work, inverse heat conduction problem, positive problem, stableness, weight, noise, convergence
PDF Full Text Request
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