This paper modifies the loss function of RCA algorithm, gets a robust convergence by restraining the ill con- dition in the iteration of competitive agglomeration among the clusters.
本文通过对RCA算法中遗忘函数的修正，抑制了类间竞争迭代中的病态发散，从而实现了算法的稳健收敛。
The experiments with both simulate and real data show that the method is efficient, robust and has good property of convergence and small re-projection errors.
模拟实验和真实实验数据结果表明，该射影重建方法具有鲁棒性好、收敛性好以及重投影误差小等优点。
The experiments with both simulate and real data show that the self-calibration method is efficient, robust and have good property of convergence.
模拟实验和真实实验数据结果表明，该定标方法运算量小、鲁棒性好、收敛性好等优点。
And it is demonstrated via analysis and simulation that this method is robust to system error and has the advantage of rapid convergence rate.
此外该算法具有收敛速度快、鲁棒性强、估计精度高等优点。通过拖曳阵和体积阵的仿真实验，验证了所提出方法的有效性和正确性。
The exponential convergence of the training process and its robust stability to the noise perturbances and the network design errors are also proved.
证明了在存在噪声干扰及网络设计误差的情况下，网络训练过程具有指数收敛性和鲁棒平稳性。
Simulation results showed that such an algorithm, which is robust with initial states, can avoid getting stuck in local minima and has better convergence property as well as time property.
仿真结果表明算法对于初始值是稳健的，并且具有很强的克服陷入局部极小能力。
The simulation results show the presented quick training algorithm can speed up the learning process of MLP, and improve the learning properties on convergence and robust performance.
仿真结果表明，改进的BP算法可显著加速网络训练速度，学习过程具有较好的收敛性和较强的鲁棒性。
The simulation results show the presented quick training algorithm can speed up the learning process of MLP, and improve the learning properties on convergence and robust performance.
仿真结果表明，改进的BP算法可显著加速网络训练速度，学习过程具有较好的收敛性和较强的鲁棒性。
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