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在１２电极 ＥＣＴ系统中，采用 ＢＰ神经网络进行图像重建时以一定原则选取学习样本，并引入模糊自适应算法以加快训练的收敛速度，获得较满意的重建图像效果．
In the 12-electrode ECT system, BP neural network is used to select the learning samples according to a certain principle and the fuzzy adaptive algorithm is introduced to speed up the convergence of the training and obtain a satisfactory reconstruction image effect.