fuzzy clustering algorithm造句
例句与造句
- Parallel fuzzy clustering algorithm for interval data
区间数据的并行模糊聚类算法 - Fusion approach for data association based on fuzzy cluster algorithm
基于模糊聚类的数据关联融合算法 - Application of fuzzy clustering algorithm on data mining platform
基于数据挖掘平台的模糊聚类算法及应用研究 - 3 . the thesis discusses the fuzzy clustering algorithm based on attribut . 4
对基于属性的模糊聚类算法进行了比较详细的讨论。 - Second , in view of the fuzzy and stochastic characteristics of the human vision system , we studied fuzzy clustering algorithm
然后，根据人类视觉中的模糊性和随机性，对模糊聚类算法进行了研究。 - It's difficult to find fuzzy clustering algorithm in a sentence. 用fuzzy clustering algorithm造句挺难的
- So we designed a new rapid fuzzy cluster algorithm , which has an approximately linear process speed and higher cluster precision
为此我们在开发中提出了一种新的快速模糊聚类算法，它具有准线性的处理速度和较高的聚类精度。 - A novel fuzzy clustering algorithm named progressive constructive fuzzy clustering ( pcfc ) was presented , which was used in the application of image compression
摘要为了设计最化码书，提出了一种新的渐进构造模糊聚类( pcfc )算法，并将其应用到图像的矢量量化中。 - Fuzzy clustering algorithms are an important part of fuzzy set theory , and they are one of the fields that fuzzy set theory applied widest , and the achievements are very fruitful
模糊聚类算法是模糊理论中的一个重要的分支，是现今模糊理论中应用最广泛的领域之一，并取得了丰富的成果。 - It explains how to building expert system with a neural network , virtual instrument and fuzzy cluster algorithm . at the last of the paper , the write shows an example of the development for such a system
对于专家知识的获取和知识的系统应用是一种很好的尝试，较好的解决了知识获取的窄瓶颈问题。 - The experimental results show that the method can not only detect the fuzzy edge and exiguous edge correctly , but also improve the searching efficiency of fuzzy clustering algorithm based on tea evidently
实验结果表明，该算法不仅具有很强的模糊边缘和微细边缘检测能力，而且可以提高基于人工免疫进化算法的模糊聚类算法的搜索效率。 - An objective function was introduced to determine the structure of fuzzy models . at last , we present a specific fuzzy modeling method based on modified fuzzy clustering algorithm combined with least - square estimator and l - m optimize algorithm
根据模糊建模的实际需要，提出了一种改进的模糊聚类算法，并结合最小二乘和l - m优化算法，给出了模糊建模的具体实现方法。 - Use the hierachical fuzzy clustering algorithm to cluster the similar customers and solve the problems of validity of clustering results and how to get the best clusters . get the customer group requirement tendency model that belongs to the vision of customers . provide the necessary data preparation for the transformation of customer requirements to engineering parameters and indexes
研究了大规模定制的市场细分过程：应用matlab语言实现的层次模糊聚类分析算法将相似需求的客户聚成一类，极大的简化了算法的实现复杂度，解决了聚类结果的有效性评估和最佳分类的确定问题，获得属于客户视角的客户群体需求倾向模型，达到细分市场的目的，并为进一步将客户需求转化为工程意义的技术参数或指标提供了必要的数据准备。 - The following is what i have done in this paper : 1 . the paper systematically summed up the fundamental knowledge of fuzzy set theory , and introduced fuzzy clustering algorithms in detail , and analyzed the defects of low convergence speed and sensitivity to the initialization of fuzzy clustering algorithms , and proposed a modified fuzzy clustering algorithm based on ga
对模糊理论的基本内容进行了系统的总结和介绍，并详细介绍了模糊聚类算法，分析了模糊聚类算法收敛速度慢且对初始化很敏感的原因，引入了遗传算法，提出了一种改进的模糊聚类算法。 - 2 . according to distribution characteristic of recipes , a recipe fuzzy cluster algorithm based on kernel - function was presented . firstly one recipe kernel - function was defined to represent recipe class , through minimizing all the distance of recipe samples to recipe class kernel , recipe samples were classed . the class number was gave out and each recipe was gave membership degrees belong to each classes
2 、根据配方的模式分布特点，提出了一种基于类核函数的配方模糊聚类算法，定义一个配方类核函数来代表配方类，通过最小化所有配方样本到配方类核距离加权和来对配方进行聚类，得到聚类数目及模糊隶属度矩阵。 - How to apply the cluster analysis method to solve the cluster of samples is narrated in details : firstly , the ordinary cluster methods and the simply analysis of the intricacy of these methods is introduced , then our rapid fuzzy cluster algorithm is particularly narrated and the experiment data are provided , at last , how we realize the automatic extraction of information form the crops " texts is introduced
在文章的主体部分讲述了如何应用聚类分析的方法解决样本的归类问题：首先介绍了常用聚类方法，并对它们的复杂度进行了简要分析。然后详细介绍了我们提出快速模糊聚类算法，并给出了实验数据。文章最后介绍在农作< wp = 4 >物信息文本中实现信息自动提取的思路。
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