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Neurocomputing theory and numerical simulation on elasticity

Journal article published in 1999 by Dh H. Sun, Xf F. Sun, 徐虹, Q. Hi, H. Xu, 孙道恒
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Full text: Unavailable

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Preprint: policy unknown
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Postprint: policy unknown
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Published version: policy unknown

Abstract

A new finite element analysis principle based on neural networks is proposed. It can realize the finite element analysis in real time. The neural computation of a simple structure was simulated on digital computer, the effect of input parameters on convergent speed and precision was analyzed. Before solving a certain FE problem, the linking weight matrix of the neural net, i.e., the global stiffness matrix of the structure analyzed, must be defined. In this paper, a method which uses the BP net to compute the element stiffness matrix in real time is proposed.