The manifestations of the law at different scales exhibit approximate self-similarity. Newton called it 'Nature conformable to Herself.
这些规律的在不同的尺度上显示出自相似性。
We research approximate reasoning method based on above method of similarity measure.
同时进行了基于这种相似度量方法的近似推理研究。
A compensating approach to the diagonal domination and approximate normalization of multivariable systems is presented in this paper in view of the matrix similarity concept.
利用矩阵的相似概念，本文提出一种多变量系统对角优势化和近似正规化的补偿方法。
A new weighted approximate reasoning method using similarity measures is presented.
在此基础上提出了一种新的基于相似度量的加权近似推理方法。
In this paper, the second chapter introduces the reducing idea of inertial manifolds and approximate inertial manifolds, and discuss the similarity reduction of KS equation.
本文第二章介绍了无穷维动力系统的惯性流形与近似惯性流形的约化思想，并讨论了KS方程的直接约化方法。
In this paper, we adopt the asymptotic analysis, get the time inner and outer solution of this model, and this time outer solution approximate the similarity solution.
文章采用渐近分析的方法求出了具有初始血栓层的该模型时间内解和外解，且该时间外解近似于相似性解给出的血栓的生长速度。
This dissertation begins with the research of similarity degree, then pseudo-metric and approximate reasoning in propositional logic system are studied.
本文从命题逻辑公式的相似度入手，研究命题逻辑公式集上的伪距离和近似推理。
Based on the characteristics of conceptual cluster during the construction of concept lattices, this paper gave a characteristic of approximate self-similarity to value the information classification.
根据构建概念格过程中概念聚类的特性，本文引出了概念格图形的近似自相似性这一特征作为信息分类的评估系数。
Methods: a new method was presented to evaluate the similarity of approximate periodic signal in terms of period similarity and waveform similarity.
方法：提出一种评价近似周期信号相似度的新方法，从周期相似度和波形相似度两个方面对近似周期信号相似性进行定量评估。
Current similarity based approximate reasoning methods (SBARs) have various views on similarity relations and neglect the effect of dissimilarity relations.
目前基于相似关系的近似推理方法(SBAR)对相似关系的理解并不一致，在推理过程中未能考虑相异关系的影响。
Current similarity based approximate reasoning methods (SBARs) have various views on similarity relations and neglect the effect of dissimilarity relations.
目前基于相似关系的近似推理方法(SBAR)对相似关系的理解并不一致，在推理过程中未能考虑相异关系的影响。
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