classification problem造句
例句与造句
- Discretization of continuous attributes in classification problems
分类问题中连续属性的离散化方法 - Improved support vector machine for multi - class classification problems
一种用于多分类问题的改进支持向量机 - Usually , the relation extraction problem was converted to a classification problem
通常,将关系抽取问题转化为一个分类问题。 - Fuzzy classification systems can deal with perceptual uncertainties in classification problems
模糊分类系统可以处理分类问题中资料的不确定性。 - Because the structure is simple , pnn is an effective model for many classification problems and many pattern recognitions
Pnn的拓扑结构简单,容易设计算法,广泛应用于模式识别及模式分类领域 - It's difficult to find classification problem in a sentence. 用classification problem造句挺难的
- As solving other classification problem , we firstly research on the feature extraction of relation extraction problem , viz
与解决其他分类问题一样,本文首先对关系抽取问题中的特征提取进行了研究。 - And two types of problems are applied based on the agent - based approach : the nonlinear system approximation problem and the classification problem
最后，基于智能体的进化算法补应用于非线性系统模拟问题和分类问题中。 - This thesis presents two simple methods to select kernel ' s parameters for classification problems and regression problems respectively . the construction of kernels
本文分别针对模式分类和函数逼近两类问题，给出了对核函数参数进行选择的简便方法。 - Lorenz system and mackey - glass time series are the examples for nonlinear system approximation problems , while iris data and wine data are taken as examples for classification problems
分别是二阶非线性工厂模型， lorenz系统， mackey - glass时间序列， iris数据集和wine数据集。 - Clusen is applied on neural networks to solve the multiple classification problems , the experimental results on uci data sets show that clusen computes more efficiency than gasen proposed before
结果表明，该技术计算效率高，精度与稳健性也与基于遗传算法的选择性集成方法相当甚至占优。 - In this thesis , we proposed two methods to construct the membership function for each attribute and to generate fuzzy rules automatically from training instances for handling fuzzy classification problems
在本论文中，我们提出两种方法来定义各个属性的归属函数及产生模糊规则以解决模糊分类的问题。 - The given method is simple and high efficiency , because most classification problems could be done through the first criterion , and complex solution procedure in getting the object ' s area could be saved
该方法简单有效，在大多数情况下用准则一即可判断物体形状，从而避免进行较复杂的目标面积的计算。 - In order to design a fuzzy classification system , it is an important task to construct the membership function for each attribute and generate fuzzy rules from training instances for handling a specific classification problem
在发展一个模糊分类系统的过程中，一个重要的课题是如何定义各个属性的归属函数以及产生合适的模糊规则。 - To prove the performance of methodology , two artificial problems ( one classification problem and one regression problem ) as well as two real problems ( one classification problem and one egression problem ) were employed to verify the methodology
并以二个人为?值?题（分?与?归各一题） 、二个实际应用?题（分?与?归各一题）加以验证。 - As to its application to multiclass classification problems , most of the methods currently used are based on combining many binary svm classifiers to build a multicalss classifier . in this paper , a new method is proposed
就支持向量机在模式识别领域中的多类分类应用而言，目前的算法多采用组合两类支持向量机分类器进行多类分类的方式。
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