People put forward radial basis function networks considering the conventional BP algorithm problems of slow convergence speed and easily getting into local dinky value.

对于传统BP算法存在的收敛速度慢和易陷入局部极小值问题，人们提出了径向基函数网络。

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In order to guarantee the convergence and stability in solving nonlinear algebraic equations, an incremental iterative algorithm was put forward according to the load characteristic.

为了保证非线性代数方程组求解的收敛性和稳定性，该文根据微梁的受力特点提出了一种增量迭代的算法。

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In the training algorithm of the network an algorithm with adaptive step correction and momentum factor is put forward which obviously improves the convergence speed of training.

在网络训练算法中，提出一种自适应修正步长和矩量因子的算法，显著提高了训练的收敛速度。

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