给出求有限生成模糊向量子空间中标准向量组的方法。
A found method of the standard vector group in a finite generating fuzzy vector subspace is given in this paper.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
利用模糊集的平移，研究了模糊仿射空间和模糊向量子空间的相互关系。
The relations of a fuzzy affine space and a fuzzy subspace are investigated by using a translation of fuzzy set.
本文引入反模糊向量空间的概念，得到了与模糊向量空间相平行的一些结果。
In this paper, the concept of anti fuzzy vector space is introduced. Some parallel results with fuzzy vector space are obtained.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
每个模糊变量包括一系列模糊子集和一个模糊向量，这个模糊向量用来描述这一系列模糊子集的隶属函数。
Every fuzzy variable consists of a series of fuzzy subsets and a fuzzy vector. The fuzzy vector is used to describe these series of fuzzy subset membership function.
针对新的参考向量开发了模糊竞争学习模式，并用该算法成功地解决了文献聚类的难题。
This paper also develops a fuzzy competitive learning scheme for these new reference vector parameters, and applies the algorithm to the difficult task of clustering documents.
提出了基于损失函数的模糊判决支持向量机算法，并与模糊样本支持向量机算法进行了比较。
The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.
在模糊随机变量的基础上引入了模糊随机向量凸集的概念，给出了几个模糊随机凸集的例子。
Based on the concept of fuzzy random variable, the concept of convex sets of fuzzy random vectors is introduced, and some examples for such type of convex sets are given.
仿真试验结果表明这种新的模糊支持向量机方法不但有较高的分类准确率，而且对隶属度有很强的预测能力。
Emulational experimental result shows that this new fuzzy support vector machine method not only has higher classified accuracy, but also has stronger test capability for the membership degree.
提出支持向量机-模糊预测控制方法，介绍支持向量机在列车启动控制过程中的应用。
It is proposed a fuzzy forecast control method based on support vector machine. The applications of the machine to the train start-up control are given.
另一类方法是直接由一致性或具有满意一致性的模糊判断矩阵计算排序向量。
In the second kind of approach, the priority weight vector is calculated directly from a (consistent) fuzzy judgment matrix or one with satisfactory consistency.
论文研究模糊支持向量分类机在冠心病诊断中的应用。
In this paper, we have studied on applying fuzzy support vector classification to coronary heart diagnose.
针对飞行动作识别提出解决这一现象的模糊支持向量机。
Flight action recognition is proposed in this paper based on the fuzzy support vector Machines (FSVMs).
针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。
In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output (MIMO) nonlinear systems.
根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
在模糊满意度的意义下，将软约束和有关向量无穷范数的取值转换为满意度。
Under the sense of fuzzy satisfactory degree, the values of soft constraints and infinite norms of related vectors are transformed into satisfactory degree.
在模糊满意度的意义下，将软约束和有关向量无穷范数的取值转换为满意度。
According to the sense of fuzzy satisfactory degree, the values of soft constraint and infinite norms of related vectors are transformed into satisfactory degree.
阐述了模糊支持向量机的原理。
通常的参数估计方法如加权最小二乘，只能给出浮点解，包括模糊度向量也只是实数解。
Through standard parameter estimation like weighted least squares only the "floating solution" - including the vector of ambiguity-can be given.
数值分析证明本文建立的模糊支撑向量机模型可根据数据置信度大小有效的控制各数据在学习机中的作用。
Numerical analysis testified that these fuzzy models can effectively control the influence of each sample on learning machine according to its confidence.
介绍了一种基于模糊模式识别以及向量空间模型提取特征向量的中文文本分类器的设计与实现。
This paper introduces the design and implementation of the Chinese text categorizer based on the fuzzy recognition and the extraction of the characteristic vector with the vector space model.
应用模糊理论的方法对支持向量机分类及最优分类面进行了解释，对可疑分类区列出了模糊隶属度的表达式。
A method based on fuzzy theory is applied to explain the classification of SVM and its optimal hyperplane. An expression of fuzzy membership on doubtful classification area is listed.
实例表明，动态模糊征兆向量方法能有效地解决智能诊断中征兆的更新与征兆数值、单位的统一问题。
An instance proved method of dynamic fussy symptom vector is efficient to solve the problems of symptom updating and unify of symptom value and unit.
研究基于模糊系数规划的模糊支持向量分类机。
Research on the fuzzy SVMs based on fuzzy coefficient programming.
并将新的模糊隶属度模型引入自适应支持向量机，提出了模糊自适应支持向量机算法。
Introducing the novel fuzzy membership model into Adaptive Support Vector Machine (ASVM), we propose an Adaptive fuzzy Support Vector Machine algorithm (AFSVM).
介绍了一个建立在向量空间模型上的电池分类系统，提出了一个基于模糊决策的快速完成识别电池容量和曲线一致性的计算方法。
A cell classify system based on vector space model was introduced and a fast fuzzy based algorithm for recognizing capacity and curve of battery was proposed.
该方法基于半模糊核聚类算法挖掘不同类别之间的衔接和离散信息，设计树型支持向量机的树型结构，克服其差错积累问题。
The method mines information on overlap between classes, designs the tree structure and overcomes the misclassification of tree-structured SVMs based on the semi-fuzzy kernel clustering algorithm.
该方法基于半模糊核聚类算法挖掘不同类别之间的衔接和离散信息，设计树型支持向量机的树型结构，克服其差错积累问题。
The method mines information on overlap between classes, designs the tree structure and overcomes the misclassification of tree-structured SVMs based on the semi-fuzzy kernel clustering algorithm.
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