an iterative inversion method based on successive approximation method is developed to image the two-dimensional conductivity profile of the target area .
在成像过程中,应用基于逐次逼近解法的迭代反演算法对目的层段的二维电导率剖面进行成像。
a neural network(nn) iterative inversion method is presented in this paper for inverting apparent temperature of targets.
将神经网络用于反演目标的微波亮度温度分布,提出了视在温度的神经网络迭代反演法。
compared to the traditional iterative inversion method through linearization, the neural network inversion is able to overcome disadvantages of the traditional inversion and obtain better results.
与传统线性化的迭代反演比较,神经网络反演能够克服传统方法的不足、获得更好的反演结果。