Application Study of BP Network Used in the Fault Diagnosis of Power Transformer
Xuemei Wang · Gao dianya jishu · 2005
This paper taking one-hidden layer combined BP network model used in the fault diagnosis of power transformer as a exapmle and on the based of training flow process chart, points out that the number of hidden nodes, initial weight values, training error, the max training times and the order of training samples have different influence on the BP network generalization. In order to reach the best training result, it can be altered in the order of the order of training samples, the number of hidden nodes, the initial weight values, the training error and the max training times of BP network when using.