关键词: BP算法, 双权值神经网络, 图像分割

Abstract: A learning algorithm for two-weight neural networks is introduced which based on error back propagation. It can synchronously determine the direction weight, core weight, index parameter, and learning factor parameters. Various hypersurfaces feature can be simulated by properly tuning these parameters. In the training of two-weight network, this paper compares the method with BP algorithm through the segment of portraits. At last, the writer applies the two-weight neural networks to segment the vehicle license plate, and achieves good image segment effect.

Key words: BP algorithm, two-weight neural networks, image segmentation