拓扑有序 meaning in Chinese

topological order

To quicken convergence and improve model precision , a new algorithm is presented in this paper , which utilize construct orderliness property of self - organization feature maps ( sofm ) , divide system input space and adopt 1 order or 2 order local model in each subspace individually instead of a global model
为了提高收敛速度和模型精度，本文利用自组织映射网络拓扑有序特性，对系统输入空间进行分割，在子空间中采用多个局部一阶线性模型或二阶模型代替全局模型的局部化方法。