The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error.

其实质是采用梯度下降法使权值的改变总是朝着误差变小的方向改进，最终达到最小误差。

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In this paper, on the basis of Gradient Vector flow (GVF) snakes, a fully automatic image segmentation algorithm based on the analysis of flow field and the minimal path method is proposed.

人工干预使蛇模型只能用于半自动的图像分割，该文在梯度向量流(GVF)蛇模型的基础上提出一种基于流场节点与最小路径方法的全自动图像分割算法。

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