Fisher判别分析,Fisher discriminant analysis
1)Fisher discriminant analysisFisher判别分析
1.Fisher discriminant analysis based on nonlinear mapping;基于非线性映射的Fisher判别分析
2.Fisher discriminant analysis based on Choquet integral基于模糊积分的Fisher判别分析
3.The 17 known oil production test layers and the l5 unknown layers in Qiaokou Oilfield is calculated by association analysis and Fisher discriminant analysis.简述了关联分析法的原理与计算步骤,并将该方法用于标定测井资料解释中的可疑层,分别用关联分析法和Fisher判别分析法对桥口油田17层已知试油层和15层未知层进行了实际计算,通过对比分析,说明了利用关联分析法标定新层的可行性,但该方法有时具有一定的局限性,需要结合其它方法对新层进行综合标定。
英文短句/例句

1.Fisher discriminant analysis based on Choquet integral基于模糊积分的Fisher判别分析
2.Maize Leaf Disease Identification Based on Fisher Discrimination Analysis基于Fisher判别分析的玉米叶部病害图像识别
3.Radar Target Recognition Based on Optimized Kernel Fisher Discriminant Analysis基于优化核Fisher判别分析的雷达目标识别
4.Potential Landslide Identification Model Based on Fisher Discrimination Analysis Method and its Application基于Fisher判别分析法的潜在滑坡判识模型及其应用
5.MPSK signal classification method based on fourth cumulants and kernel Fisher discriminant analysis基于四阶累积量与核Fisher判别分析的MPSK信号分类方法
6.A Fisher discriminant analysis model for classifying top coal cavability of the steep seam急倾斜煤层顶煤可放性分类预测的Fisher判别分析模型及应用
7.The Study on Financial Crisis Prewarning Model Based on Kernel Fisher Discriminant;核Fisher判别分析模型在财务危机预警中的应用研究
8.Application of Fisher Discriminant Analysis Model into Credit Risk of Listed Companies;Fisher判别分析模型在上市公司信用风险度量中的应用
9.The research on predicting financial abnormity in listed companies using fisher discriminant and feed forward neural networks;前馈神经网络和Fisher判别分析对上市公司财务状况异常的预测研究
10.Fault Diagnosis of Rolling Bearing Based on Parameter Model of Time-Series and Fisher Discriminant Analysis基于时间序列的参数模型和Fisher判别分析的滚动轴承故障诊断方法
11.Application of Fisher Discrimination Method in University s Financial Risk Analysis;Fisher判别法在高校财务风险分析中的应用
12.Applying Fisher Liner Discriminant analysis Method in the Evaluation of Logistics Plan;应用Fisher线性判别分析法评估物流规划项目
13.NEW ALGORITHM FOR SPECTRAL MIXTURE ANALYSIS BASED ON FISHER DISCRIMINANT ANALYSIS:EVIDENCE FROM LABORATORY EXPERIMENT一种新的基于Fisher判别的混合像元分解算法:室内控制实验结果分析
14.The Application of a Weighted Kernel Fisher Discriminant Analysis Applied in Face Recognition一种加权的核Fisher鉴别分析在人脸识别中的应用
15.Fuzzy Inverse FDA and Its Application to Face Recognition模糊逆Fisher鉴别分析及其在人脸识别中的应用
16.Image Segmentation Based on Morphology Watershed and Fisher Linear Discriminant Analysis形态学分水岭和Fisher线性判别的图像分割算法研究
17.Network Intrusion Detection Algorithm Based on Kernel Fisher Diagnose Analysis基于核Fisher鉴别分析的网络入侵检测算法
18.Research on Face Recognition Technique Based on Kernel Fisher Discriminant;基于核Fisher判别的人脸识别方法研究
相关短句/例句

Fisher Discrimination AnalysisFisher判别分析
3)kernel Fisher discriminant analysis核Fisher判别分析
1.Hyperspectral Remote Sensing Image Classification Based on Kernel Fisher Discriminant Analysis;基于核Fisher判别分析的高光谱遥感影像分类
2.Nonlinear statistical process monitoring and fault diagnosis based on kernel Fisher discriminant analysis;基于核Fisher判别分析方法的非线性统计过程监控与故障诊断
3.MPSK signal classification method based on fourth cumulants and kernel Fisher discriminant analysis基于四阶累积量与核Fisher判别分析的MPSK信号分类方法
4)Fisher Discriminant AnalysisFisher判别分析法
1.Fault Diagnosis Based on Fisher Discriminant Analysis for Ahu Sensors;基于Fisher判别分析法的空调系统传感器故障诊断
5)Fisher linear discriminant analysisFisher线性判别分析
1.Finally,Fisher linear discriminant analysis is employed for classification.首先,对原始光谱进行四级小波分解,选择主要包含谱线信息的第四级小波系数作为光谱的小波特征;然后,利用主分量分析对光谱的小波特征进行特征压缩,得到光谱的识别特征;最后,利用Fisher线性判别分析实现分类。
2.In this paper, a method for color face recognition is presented, this algorithm extracts the final features by utilizing the techniques of the simulative K-L transform, the singular value decomposition, the principal component analysis and the Fisher linear discriminant analysis.该算法采用模拟K-L变换、奇异值分解、主分量分析和Fisher线性判别分析技术来提取最终特征,可以使分类器的设计更加简洁、有效,使用较少的特征向量数目就能取得较高的识别率。
6)FDA algorithmFisher判别分析算法
延伸阅读

判别分析预测法(见发生量预测)判别分析预测法(见发生量预测)discriminatory analysis for forecast  判别分析预测法(diseriminatory analysisfor foreeast)又叫分辨分析法,是用判别函数预测害虫发生量的方法。其步骤为:将预报因子和预报量分为2级或多级,对预报因子进行线性组合,构成一个判别函数;先确定一个临界值作分辨指标,然后计算判别函数式中的系数,求出临界值;应用时,将预报因子的实查值代入判别函数式,求出预报值,将此值与临界值相比较,可预报害虫的发生量。 判别函数通式将预报因子的数据进行线性组合: 尸y~习c、·x、(1) 左=l式中夕为预报量;P为预报因子个数;x、(k二1,2,……,尸)为预报因子;c、为系数。二级判别法中的x分为2级,故(l)式为:〕一clxl+cZxZ(2)则y值亦分2级,可确定一个y。为分辨指标,当夕)yc时为A级,夕几时,若y>y。,可预报A级;若夕<夕。,可预报B级。当虱<元时,若y>夕。,可预报B级,若y