ID	原文	译文
1543	其次按照随机欠采样方式获取近场幅相信息，	Then the near-field data are acquired.
1544	最后利用所提基于随机扰动技术的非凸优化算法对差异性阵列激励进行重构，从而实现对阵列失效单元的高概率精确诊断。	Finally, accurate diagnosis with highprobability is achieved by recovering the sparse excitation of differential array utilizing proposed algorithm.
1545	数值仿真实验表明，所提算法避免了由于观测矩阵的约束等距特性未知对诊断性能造成的不利影响，并且克服了非凸范数易于陷入局部最优解的弊端，有效提高了阵列失效单元的诊断成功概率。	Numerical simu-lation results demonstrate that the proposed method avoids the adverse impact on the performance of diagnosis arising fromthe absence of apriori information on RIP of observation matrix, overcomes the problem of local minima associated to thenon-convex norm, and therefore improves the probability of success rate of diagnosis effectively.
1546	内分泌系统是由各种内分泌细胞组成的复杂系统，其蕴含的基于荷尔蒙的反应扩散信息处理机制，对仿生智能理论和技术的研究具有非常重要的借鉴意义。	Endocrine system is a complex system composed of various endocrine cells. It contains a hormone-basedreaction diffusion information processing mechanism, which provides very important reference for the research of bionic in-telligence theory and technology.
1547	在分析生物内分泌系统中荷尔蒙的反应扩散作用机理基础上，提出了人工反应扩散网络模型和基于该模型的自学习算法，	Based on the analysis of the reaction diffusion mechanism of hormones in biological endo-crine system, an artificial reaction diffusion network model and a self-learning algorithm based on the model are proposed.
1548	该模型通过模拟荷尔蒙的扩散以及与受体的反应来实现对人工生命体的控制。	The model simulates the diffusion of hormones and the reaction with receptors to control artificial life.
1549	为了验证模型及其算法的有效性，本文做了机器人自动导航控制的仿真实验，结果也表明了该模型及其算法具有良好的自适应求解能力。	In order to verify thevalidity of the model and its algorithm, a simulation experiment of robot automatic navigation control is done. The results al-so show that the model and algorithm have good adaptive resolution ability.
1550	为了提高从企业模型库中检索模型的效率，提出一种基于加权流关系的相似性算法，记作 WF。	In order to improve the efficiency of retrieving models from enterprise model library, a similarity algorithmbased on weighted flow relationship is proposed, regarded as WF.
1551	首先，本文设计加权流关系集的生成算法，生成算法通过广度优先搜索方法遍历除输出库所外的所有节点及流关系，为每个流关系唯一分配权重，生成加权流关系集;	Firstly, this paper designs a weighted flow relationship setgeneration algorithm. The generation algorithm traverses all nodes and flow relationships except the output place by breadth-first search method. The weight is assigned to each flow relationship to generate a weighted flow relationship set.
1552	其次，WF 算法基于加权流关系集计算出加权变迁集，并依据 WF 相似性定义计算相似性;	Secondly, the WF algorithm calculates the weighted transition set based on the weighted flow relationship set, and calculates the simi-larity according to the WF similarity definition.