1) distinction model
模型判别法
2) discrimination model
判别模型
1.
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。
2.
Based on the Fisher discrimination method and actual data,a system of discrimination indexes for the financial risks of Chinese universities and colleges was proposed,and a linear Fisher discrimination model was established.
基于费歇尔判别法,结合实际数据,构建了高校财务风险判别指标体系和建立了费歇尔线性判别模型,并进行了实证检验。
3.
Based on the showing of gas and water in well logging, well recording and well testing, this paper uses the step discriminant analysis to establish the discrimination model of gas and water in a certain gas pool in north of Ordos basin in order to mark off the gas and water in single wells in this area.
应用多组逐步判别分析方法原理,结合测井、录井、完井测试等资料的气、水显示情况,选取鄂尔多斯盆地北部某气藏典型井建立该地区气、水层的判别模型,以便对该地区单井进行气、水层划分。
3) discriminant model
判别模型
1.
Study on the Discriminant Model and the Comprehensive Evaluation Technique on the Quality of the Medical Research Project;
医学科研课题质量判别模型与综合评价技术研究
2.
Study on discriminant model of electric customers' credit based on ANFIS
基于ANFIS的电力客户信用判别模型研究
3.
It builds a soil erosion intensity discriminant model for the mining area by using the methods of clust.
采用聚类分析、判别分析方法,构建了矿区土壤侵蚀强度判别模型,模型平均误判概率为0。
4) discriminating model
判别模型
1.
The paper, based on the discriminating model for predicting special treatment of Chinese listed companies in the relevant literature, addresses empirically the effect which the quality of the information about financial statements has on the prediction errors.
本文以ST公司预警的相关判别模型为基础,经验地揭示了会计报表信息质量对ST公司预警误判的影响。
5) judging model
判别模型
1.
Researches on judging model for reasonable utilization of rangelands;
天然草地合理利用的判别模型研究
6) distinguish model
判别模型
1.
Realizing seismic detection of gas reservoir by using non-linear mapping to distinguish model.;
非线性映照判别模型实现气藏地震检测
补充资料：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
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条