1)support vector machine ensemble支持向量机集成
1.Analog circuit fault diagnosis based on support vector machine ensemble;基于支持向量机集成的模拟电路故障诊断
英文短句/例句
1.Selective SVM ensemble based on rough set基于粗集理论的选择性支持向量机集成
2.Support Vector Machines Ensemble and Its Application in Remote Sensing Classification;支持向量机集成及在遥感分类中的应用
3.Selective SVM Ensemble Based on Fuzzy Clustering;基于模糊聚类的选择性支持向量机集成
4.Study on the Compositive Fault Diagnose Method by Independent Component Analysis and Support Vector Machine基于独立成份分析与支持向量机集成故障诊断方法的研究
5.Credit Risk Assessment in Commercial Banks on Five-class Support Vector Machines Ensemble基于五级分类支持向量机集成的商业银行信用风险评估模型研究
6.The Model of Credit Risk Assessment in Commercial Banks on Fuzzy Integral Support Vector Machines Ensemble基于模糊积分支持向量机集成的商业银行信用风险评估模型研究
7.Study of Electric Power Customer Value Integrated RS and SVM;集成粗糙集和支持向量机的电力客户价值研究
8.SVM-based Ensemble Learning Audio Classification Algorithm;基于支持向量机的集成学习音频分类算法
9.An Integrated Discriminant Analysis Rule based on Logistic Regression and Support Vector Machines;一种集成logistic回归与支持向量机的判别分析规则
10.The Fuzzy Support Vector Regression Ensemble Algorithm Based on the Improved Adaboost.RT基于改进的Adaboost.RT模糊支持向量回归机集成算法
11.Research and application of integrated grey support vector machine model集成灰色支持向量机预测模型研究与应用
12.Constraint Projection-based Support Vector Machines Selective Ensemble Algorithms基于约束投影的支持向量机选择性集成
13.Stock Market Forecasting Model Based on Support Vector Machine Evolving Neural Network Ensemble基于支持向量机的进化神经网络集成股市模型
14.Applying OCSVM Ensemble Model for The Problem of Training SVM with Large Scale DatasetOCSVM集成模型解决支持向量机的大规模训练问题
15.A P300 BCI Signal Detection Algorithm Based on Ensemble of SVM基于集成支持向量机的P300脑机接口信号识别算法研究
16.Model Selection of Support Vector Machines in the Unbalanced Sets;不平衡样本集的支持向量机模型选择
17.Improvement upon Algorithm for Training Set Selection of Support Vector Machine一种支持向量机训练集选取算法改进
18.Fuzzy SVM Based on Vague Sets一种结合Vague集的模糊支持向量机研究
相关短句/例句
ensemble support vector machine集成支持向量机
3)support vector set支持向量集
4)support vector classifiers ensemble支持向量分类器集成
5)Rough Set theory based attribution reduction and Support Vertor Machine(RS-SVM)粗糙集-支持向量机(RS-SVM)
6)SVM支持向量机
1.SVM models for analysing the headstreams of mine water inrush;矿井涌水水源分析的支持向量机模型
2.THE INFRARED SPECTRUM NATURAL GAS COMPOSITION ANALYSIS SYSTEM BASED ON SUPPORT VECTOR MACHINE(SVM);基于支持向量机的红外光谱天然气分析系统
3.Method for Fracturing Effect Prediction Based on Support Vector Machine(SVM);基于支持向量机的压裂效果预测方法研究
延伸阅读
支持向量机方法支持向量机(SVM)是90年代中期发展起来的基于统计学习理论的一种机器学习方法，通过寻求结构化风险最小来提高学习机泛化能力，实现经验风险和置信范围的最小化，从而达到在统计样本量较少的情况下，亦能获得良好统计规律的目的。支持向量机算法是一个凸二次优化问题,能够保证找到的极值解就是全局最优解，是神经网络领域域取得的一项重大突破。与神经网络相比，它的优点是训练算法中不存在局部极小值问题，可以自动设计模型复杂度(例如隐层节点数)，不存在维数灾难问题，泛化能力强。
