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- W2371237906 abstract "Integral structure is divided into some module structure in the light of topological connection,then,module structure failure probability is computed and obtained according to force transfer principles.Information of integral structure failure probability is simulated by FEM(finite element modeling).Module structure failure probability is considered as input data,information of integral structure failure probability is considered as output data,and thus,specimen is obtained on input data and output data.Neural network structure with interpolation and extrapolation is gained by training specimen.Not only can the Computing speed and analyzing veracity be greatly improved,but also the failure probability of hyper-static structure with same topological structure can be computed with neural network generalization.In an example,failure probability of integral structure with five module structures is illustrated by neural network,and failure probability of integral structure with seven module structures is analyzed by neural network extrapolation,the result obtained has a good precision.This conclusion shows that this method is feasible and valid." @default.
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- W2371237906 date "2007-01-01" @default.
- W2371237906 modified "2023-09-22" @default.
- W2371237906 title "Failure Probability Analysis of the Complex Hyper-static Structure Based on Neural Network Method" @default.
- W2371237906 hasPublicationYear "2007" @default.
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