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。
2
This paper gives some analysis about the errors, boundary conditions and computing convergence.
同时对计算的边界条件及收敛特性也进行了分析。
3
The exponential convergence of the training process and its robust stability to the noise perturbances and the network design errors are also proved.