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。
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。
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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