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- To classify the collectivity, uaually a training sample is needed.The classification and statistical indexes of the training sample are known. 为了对总体分类,一般应该有训练样本,它的分类和统计指标都是已知的。
- An automatic text categorization mechanism based on CBR was presented,the training sample library was converted to the case library and the document was classified by KNN. 文中提出了一种基于CBR的文本自动分类方法,先用聚类方法把训练样本库转换为范例库,然后用KNN思想分类。
- The method divides theoriginal data into two parts in term of "close" degree between the original sample and forecast sample: one is initial sample, the other is training sample. 本方法对原有的样品数据根据与待预测样品的关系的“密切”程度分为两个部分,一部分是初始样品,一部分是训练样品。
- The denominator of generally neural network output often tends to be zero,leading to infinite loop when training sample data.The reliability of results is debased. 常规神经网络在当训练样本时分母项易趋于0,导致运算进入死循环,降低了结果的可信度。
- To boost the recognition performance in this one training sample application scenario, we extract context information as another cue for recognizing people. 为了在这单一训练样本的情况下提高人脸分类的识别性能,我们亦由输入的照片集中,萃取出前后文讯息,来做为分类判断的另一种线索。
- For a multifactor power load prediction problem and typical training sample selection, a new method for Short-Term Load Forecasting (STLF) based on data mining is put forward. 针对电力负荷受到多因素的影响以及典型训练样本选择问题,提出了一种基于数据挖掘技术的新型短期负荷预测方法。
- This text forecast to same 24 group data and compare of the result, have put forward that chose different training sample according to different periods of subsiding. 对同样的24组数据进行了预测,经过对预测结果的对比分析,提出了根据不同的沉降时期选取不同训练样本的方法。
- The experimental results on ORL face database show that the proposed method is effective and promising in face recognition with single training sample per person. 在ORL国际标准人脸库上进行的实验表明了所提算法的可行性和有效性。
- Also, this method used the way of supervising, select training sample's centroid to be the centroid's of connotative nodes, make training sample's sorts as the numbers of nodes. 利用该方法对小词表汉语孤立词进行语音识别。
- Using different train sample sets, the simulation experiment result demonstrates that the RVM method has more advantages than support vector machine method. 采用不同训练样本集的仿真实验结果表明,相关向量机方法比支持向量机方法具有更多的优点。
- The training sample, valid sample and test sample were developed, taking data of 26 sample plots from May to October of 2001 as input indicators and phytoplankton biomass of each sample site as output factor. 以2001年5~10月全太湖26个采样点的实测水文、水质、气象等资料作为输人因子,建立了训练样本、检验样本和测试样本,并以各采样点的浮游植物量作为输出因子。
- Using the industrial casualty statistical datum from 1985 to 2002 of England, as training sample, the casualties were predicted for 2003 by adopting different number of neuron and different training function. 以英国1985年至2002年的工业伤亡人数统计资料为训练样本,采用不同的神经元数目和不同的训练函数,对其2003年的事故伤亡人数作了预测。
- To address the quality problem of training samples, this article uses sample weightiness analysis to select training samples. 为了解决训练样本质量过差的问题,本文通过重要性分析方法进行训练文本选择。
- In this method, rule intensity is defined according to the number of misclassified training samples. 该算法根据误分类训练样本的数量定义规则强度。
- SVM is used to classify, which weakly depends on the quantity and quanlity of training samples. 在分类器设计方面,选用了对样本数量和质量依赖性小的支持向量机。
- Firstly, the combined feature of the unknown target is compared with the samples of the training sample space in the NNFC, and a feature difference matrix is obtained. 该分类器首先把待识别目标的组合特征与训练模板中的组合特征样本一一进行比较,从而得到了一个特征差矩阵。
- Besides that, we adopted a bootstrapping method during network's training, successfully solving the deficiency of non-face training samples. 而改进后的BP网络缩短了学习时间,提高了学习效率,并在一定程度上避免了学习中的局部极小问题。
- The discrimination model is established from the training samples using BP algorithm,and then the samples is distinguished from the well-trained. 利用BP算法对训练样本进行学习,确定判别模型,根据已训练好的神经网络对样本进行判别。
- Hard training will fit them to run long distances. 严格的训练将使他们能跑长距离。
- She earned her place in the team by training hard. 她由于刻苦训练而在队里取得了地位。