WANG Jianmei, QIN Wenzhong. BP Neural Network Classifier Based on Levenberg-Marquardt Algorithm[J]. Geomatics and Information Science of Wuhan University, 2005, 30(10): 928-931.
Citation: WANG Jianmei, QIN Wenzhong. BP Neural Network Classifier Based on Levenberg-Marquardt Algorithm[J]. Geomatics and Information Science of Wuhan University, 2005, 30(10): 928-931.

BP Neural Network Classifier Based on Levenberg-Marquardt Algorithm

  • BP Neural network classifier based on Levenberg-Marquardt (L-M) algorithm and its application to remote sensing image classification is discussed in this paper. L-M algorithm is a combination of gradient method and Gauss-Newton method. With the aid of the approximate second derivative, the L-M algorithm is more efficient than the gradient method. Concerned with the training process and accuracy, the L-M algorithm is superior to vary-learning\|rate BP method.
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