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Chinese translation for "calculated weight"

计算重量

Related Translations:
calc calculate:  计算
calculated value:  计算值
calculated strength:  计算强度
calculating center:  计算中心
calculating unit:  计算装置
calculated area:  计算面积
calculated risk:  预测风险预期风险
calculating speed:  计算速度
calculated recoil:  计算后坐能
calculating technics:  计算技巧
Example Sentences:
1.A new method for calculating weights in interval number judgment
计算区间数判断矩阵权重的一种新方法
2.A linear goal programming method for calculating weights in the interval ahp
权重计算的线性目标规划法
3.The algorithm for calculating weight and index , and the measurement method for case similarity were provided
给出了计算权重和索引的算法,以及事例相似性的度量方法。
4.Class . when paginating , the asp . net iterates through the control tree , calculating weights and assigning page numbers
分页时, asp . net循环访问控件树,计算权重并分配页码。
5.Meanwhile , the paper focuses on studies about weight factors , analyzes the subjective and objective states related to calculating weight , and by integrating them introduces a relevant approach to calculate weight
同时,重点对以权值为基础的分簇算法的权重因素进行了研究,分析了和权重因素确定有关的主客观情况,并加以综合提出了相应的权重确定方法。
6.3 . advancing a method to calculate weight of document feature item based on bp neural net the key technologies of information retrieval system are the followings : representation of document and user query ; query matching strategy ; correlation calculation of matching result
提出一种基于bp神经网络统计文档特征项权重的方法信息检索系统的核心技术主要包括三个方面的内容:文档与用户查询的表示:查询匹配策略;匹配结果的相关度计算。
7.In chapter 3 , the group decision - making is applied in the safety evaluation , and the credit degree is put forward to considering the experts " appraisal level . the principle of set - valued statistics and the fuzzy gravity center based decision theory are put into a new method , and are applied in the uncertain type of ahp . hence , the weights of evaluation indices that reflect the experts " level are gained . this measure , which reflects the objective of the evaluation process and the subjective of the experts , can concentrate various opinions and lower the deviation of the evaluation process . a new method of calculating weights and variable weight is presented in the safety evaluation , and it is discussed that how the method of variable weight is applied in several evaluation methods
在原有的集值统计原理的基础上,引入对专家评判水平的评判? ?专家的权重,形成加权的集值统计原理,并与重心决策理论相结合,计算出考虑了专家水平差异的桥梁安全性评价指标的权重。这样处理反映了评价的客观性和参评人员的主观性,能很方便地集中多种不同意见,减少了评价过程中的随机误差。在桥梁安全性评价中,为了反映桥梁状态发展的不均衡性,使评价过程更趋于合理,评价结果更可靠,将变权原理应用于桥梁安全性评价,探讨变权原理在多种评价方法中的运用。
8.Based on the theory of safety evaluation and risk assessment , this paper first ascertained the evaluating indices affecting ships ' seaworthiness and classified them according to their importance degrees by experts investigation , and used judgment matrix method to calculate weight of the evaluating indices , and then got the membership function by fuzzy collection theory , and finally established the mathematical model to realize a fuzzy comprehensive evaluation to ships ' seaworthiness
摘要根据安全评价理论、风险评估理论,通过专家调查方式确定影响船舶适航性的评价指标并按照重要程度进行分类,然后采用判断矩阵法计算评价指标的权重,运用模糊集合理论确定隶属函数,进而建立数学模型,实现对船舶适航性的模糊综合评价。
9.Aimed at scarcities of current means to calculate document feature item weight , using vsm for reference , this paper advances a method to calculate weight of document feature item based on bp neural net . bp neural net is applied broadly for its simple structure and working stabilization
本文针对现存的文档特征项基于internet的信目、检索若干问题的研究权重统计方法的不足,结合向量空间模型表示文档特征的方法,提出利用神经网络技术对文档的文档特征权重进行估计的方法。
10.The innovations of this thesis can be summarized into three points . firstly , the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight , then it increases the stability and self - adaptability of cluster head . secondly , a new approach to calculating weight is suggested by integrating subjective and objective factors . it is verified by comparison with other approaches to selecting weight . thus the velocity of weight responding to the changes of network topology is increased . finally , using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet
本文的创新点有三个:首先本文在wca和aow分簇算法的基础上,引入了平均相对移动速度作为权值重要的参数,提出了一种新的基于权值的自适应分簇算法,提高了簇头在移动中的稳定性和自适应性;其次,提出了利用主客观综合赋权法确定权重的权值计算方法,通过与其他权重选择方法比较,网络结构变化的权值响应速度得到了改进;最后,论文利用自组织特征映射神经网络建立分类模型,使得网络中的节点可以自学习地确定簇中角色。
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