Xforms provides for validation based on type constraints and other properties , including minimum and maximum allowed string length in fact , the xforms specification permits such validation constructs based on any boolean xpath expression Xforms提供了基于类型约束和包括允许的最小和最大字符串长度等其他属性的验证（实际上， xforms规范支持基于所有布尔xpath表达式的这类验证构造） 。
In consideration of a design plan for intelligent measuring of tubing string length , a mathematical model is established to conduct the measuring based on eulers fomula and the characters of bearing force and deformation of wire rope in the lifting system 针对油管柱长度智能计量的设计方案，以欧拉公式为基础，依据起升系统中钢丝绳的受力特点及变形，推导出适用于油管柱长度智能计量的数学模型。
The paper studied withstand voltage level , influence factors , breakdown process and breakdown mechanism of covered with snow or ice through some theory calculation results , many test data and phenomena . the paper got the conclusions that withstand voltage strength of insulator covered with snow or ice descended largely , and the amount of ice or snow build - up , number of flashover , string length , environment temperature and leak current etc had obvious effects on flashover voltage values of insulators 通过大量的试验数据和现象研究冰雪条件下绝缘子的耐压水平、影响因素及其击穿机理，如串长的影响、环境温度、绝缘子形状及冰的干湿程度、闪络次数、冠雪量和积冰量的影响、雪的密度、气压和湿度的影响等，并对试验结果与理论分析结果进行了对比，分析其是否一致。
A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand . deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time , the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm . moreover , by introducing memory function and vaccine inoculation mechanism of immune system , at the same time , deca can converge to the optimal solution rapidly and stably . the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models . the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples , and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes 针对模糊聚类算法不适应复杂环境的问题,提出了一种新的动态进化聚类算法,克服了传统模糊聚类建模算法须事先确定规则数的缺陷.通过改进的遗传策略来优化染色体长度,实现对聚类个数进行全局寻优;利用fcm算法加快聚类中心参数的收敛;并引入免疫系统的记忆功能和疫苗接种机理,使算法能快速稳定地收敛到最优解.利用这种高效的动态聚类算法辨识模糊模型,可同时得到合适的模糊规则数和准确的前提参数,将其应用于控制过程可获得高精度的非线性模糊模型
The main results are as follows : aiming at simple genetic algorithm ’ s slow convergence and slow resolving power and so on , extended zooming genetic algorithms are brought forward , i . e . it keeps invariable string length , unceasingly leaves evolving information in decoding formula from individual string , and spare genes have function such as memory bank which is supplied with new genes for improving solution precision 取得的主要成果如下：针对基本遗传算法收敛速度慢、解的分辨率过低等不足，提出了改进变焦遗传算法，即在保持串长不变的条件下，不断把经多次进化的信息从个体串中存放到解码公式上，所空出的基因起着类似“内存条”的作用，为提高解的精度随时纳入新的基因。
