Abstract: On the basic of dynamic equations of neural networks, the stabilizing time and the computing precision in the neurocomputation of elastic problem are analyzed both theoretically and numerically. Clearly, there are effects of capacity C, amplifying gain β on the stabilizing time, and the resistance R, penalty coefficient α on the precision . However, it is no necessary to constrain the R, C, β, α strictly when it is applied to engineering. The conclusions of numerical simulation are well agreed with that of theoretical analysis.

Key words: Error characteristic, Finite element, Neural networks, Numerical simulation, Stabilizing time