iterative initial values 迭代初始值
Computer simulation demonstrates that nonlinear local optimization methods are effective for EEG inverse solution if the source number is one or two and the initial iterative values are reasonable.
仿真结果表明，在处理一个或两个源场的情况下，如果迭代初值选择合理，非线性局域优化方法可以有效地解决脑电逆问题。
Meanwhile, considering that Newton iterative method is sensitive to the initial value of parameters, the paper studied generated methods for initial values on basis of data interpolation and fitting.
针对牛顿迭代法收敛精度和速度受初值影响的问题，基于数据插值和拟合方法，研究了迭代初值生成技术。
No restriction is attached to the iterative initial values for this method.
该方法对迭代初值不附加任何限制，而且收敛速度非常快。
应用推荐