So far many approximate methods have been used to solve the large deflection problems except that only a few exact solutions have been investigated but no strict proof on convergence is presented yet.

迄今为止，除了少数未从数学上严格证明其收敛性的精确解外，大多数均采用近似方法求解。

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The parallel processing with two networks are used to improve the network convergence rate and approximate Wiener solution via postprocessing.

采用两个网络并行处理的方法提高了网络收敛速度，通过后续处理逼近维纳解。

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Using the comparison method, an approximate approach to the delay-differential equations is proposed in this paper. The proof of its convergence and calculation stability is also given.

本文应用比较方法，提出滞后型泛函微分方程初始问题的近似解法，给出了解的近似迭代序列及其误差估计式，并证明迭代序列的收敛性和计算稳定性。

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