模糊自适应算法的神经网络图像重建

模糊自适应算法的神经网络图像重建 Using A Fuzzy Adaptive BP Algorithm in Electrical Capacitance Tomography 苏祥芳 1 first-author 胡俊 1 江潮 1 王延平 1 武汉大学电子信息学学院,武汉,430072 武汉大学电子信息学学院,武汉,430072 College of Electronic Information,Wuhan University College of Electronic Information,Wuhan University 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 ECT measure system of 12 electrodes,NN is used in image real-timerebuilding. choose the proper teacher signals with a proper rule. A fuzzy adaptive BP algorithm is proposed,The speed of convergence and the network performance of this algorithm are better than other known modified BP Algorithm. 神经网络 图像重建 模糊自适应算法 neural network image rebuilding fuzzy adaptive algorithm 10.14188/j.1671-8836.2000.01.029 TP18 国家自然科学基金!（69572030） 2000-01-01 2021-04-01 1