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K. Sathish KUMAR, T. JAYABARATHI
《能源前沿(英文)》 2012年 第6卷 第4期 页码 394-402 doi: 10.1007/s11708-012-0211-0
关键词: support vector machines (SVM) structural risk minimization (SRM) equivalent capacity margin (ECM) restoration fault classification
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
《结构与土木工程前沿(英文)》 2013年 第7卷 第1期 页码 72-82 doi: 10.1007/s11709-013-0185-y
关键词: earthquake cone penetration test liquefaction support vector machine (SVM) prediction
运用支持向量机的稳健智能音频水印设计 Article
Mohammad MOSLEH,Hadi LATIFPOUR,Mohammad KHEYRANDISH,Mahdi MOSLEH,Najmeh HOSSEINPOUR
《信息与电子工程前沿(英文)》 2016年 第17卷 第12期 页码 1320-1330 doi: 10.1631/FITEE.1500297
A comprehensive review and analysis of solar forecasting techniques
Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA
《能源前沿(英文)》 2022年 第16卷 第2期 页码 187-223 doi: 10.1007/s11708-021-0722-7
关键词: forecasting techniques hybrid models neural network solar forecasting error metric support vector machine (SVM)
Identification of thermal error in a feed system based on multi-class LS-SVM
Chao JIN, Bo WU, Youmin HU, Yao CHENG
《机械工程前沿(英文)》 2012年 第7卷 第1期 页码 47-54 doi: 10.1007/s11465-012-0307-6
Research of thermal characteristics has been a key issue in the development of high-speed feed system. The thermal positioning error of a ball-screw is one of the most important objects to consider for high-accuracy and high-speed machine tools. The research work undertaken herein ultimately aims at the development of a comprehensive thermal error identification model with high accuracy and robust. Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of the feed system is identified with the variance and mean square value of the temperatures of supporting bearings and screw-nut as feature vector. A series of experiments were carried out on a self-made quasi high-speed feed system experimental bench HUST-FS-001 to verify the identification capacity of the presented method. The results show that the recommended model can be used to predict the thermal error of a feed system with good accuracy, which is better than the ordinary BP and RBF neural network. The work described in this paper lays a solid foundation of thermal error prediction and compensation in a feed system.
关键词: least squares support vector machine (LS-SVM) feed system thermal error precision machining
Abdelkarim AMMAR,Amor BOUREK,Abdelhamid BENAKCHA
《能源前沿(英文)》 2020年 第14卷 第4期 页码 836-849 doi: 10.1007/s11708-017-0444-z
关键词: induction motor direct torque control (DTC) space vector modulation (SVM) sliding mode control (SMC) sliding mode observer (SMO) dS1104
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
《结构与土木工程前沿(英文)》 2021年 第15卷 第2期 页码 520-536 doi: 10.1007/s11709-021-0689-9
关键词: unconfined compressive strength artificial neural network support vector machine predictive models regression
UsingKinect for real-time emotion recognition via facial expressions
Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN
《信息与电子工程前沿(英文)》 2015年 第16卷 第4期 页码 272-282 doi: 10.1631/FITEE.1400209
关键词: Kinect Emotion recognition Facial expression Real-time classification Fusion algorithm Support vector machine (SVM)
一种观点挖掘新词语权重过程性能分析 Article
G. R. BRINDHA,P. SWAMINATHAN,B. SANTHI
《信息与电子工程前沿(英文)》 2016年 第17卷 第11期 页码 1186-1198 doi: 10.1631/FITEE.1500283
Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST
《结构与土木工程前沿(英文)》 2019年 第13卷 第1期 页码 215-239 doi: 10.1007/s11709-018-0489-z
关键词: bentonite/sepiolite plastic concrete compressive strength artificial neural network support vector machine parametric analysis
Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN
《信息与电子工程前沿(英文)》 2015年 第16卷 第6期 页码 474-485 doi: 10.1631/FITEE.1400295
关键词: Blood pressure (BP) Principal component analysis (PCA) Forward stepwise regression Artificial neural network (ANN) Adaptive neuro-fuzzy inference system (ANFIS) Least squares support vector machine (LS-SVM)
Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in
Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu
《环境科学与工程前沿(英文)》 2019年 第13卷 第2期 doi: 10.1007/s11783-019-1102-y
An image-recognition-based diagnosis system of pipe defect types was established. 1043 practical pipe images were gathered by CCTV robot in a southern Chinese city. The overall accuracy of the system is 84% and the highest accuracy is 99.3%. The accuracy shows positive correlation to the number of training samples.
关键词: Sewer pipe defects Defect diagnosing Image recognition Multi-features extraction Support vector machine
向小东
《中国工程科学》 2008年 第10卷 第11期 页码 89-92
根据时间序列近期数据较远期数据包含有更多未来信息的思想,对最小二乘支持向量机预测方法进行了扩展,得到了更具一般性的最小二乘支持向量机预测模型,给出了扩展后的预测模型具体算法。两个时间序列的预测实例表明,扩展后的预测方法获得了更好的预测效果,提升了最小二乘支持向量机预测方法的价值。
F. BENCHABANE, A. TITAOUINE, O. BENNIS, K. YAHIA, D. TAIBI
《能源前沿(英文)》 2012年 第6卷 第2期 页码 129-137 doi: 10.1007/s11708-012-0183-0
关键词: induction motor direct filed oriented control Luenberger observer estimation space vector modulation (SVM) sliding mode control boost-rectifier
标题 作者 时间 类型 操作
Fault classification and reconfiguration of distribution systems using equivalent capacity margin method
K. Sathish KUMAR, T. JAYABARATHI
期刊论文
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
期刊论文
运用支持向量机的稳健智能音频水印设计
Mohammad MOSLEH,Hadi LATIFPOUR,Mohammad KHEYRANDISH,Mahdi MOSLEH,Najmeh HOSSEINPOUR
期刊论文
A comprehensive review and analysis of solar forecasting techniques
Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA
期刊论文
Identification of thermal error in a feed system based on multi-class LS-SVM
Chao JIN, Bo WU, Youmin HU, Yao CHENG
期刊论文
Robust SVM-direct torque control of induction motor based on sliding mode controller and sliding mode
Abdelkarim AMMAR,Amor BOUREK,Abdelhamid BENAKCHA
期刊论文
Unconfined compressive strength prediction of soils stabilized using artificial neural networks and supportvector machines
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
期刊论文
UsingKinect for real-time emotion recognition via facial expressions
Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN
期刊论文
Modeling of bentonite/sepiolite plastic concrete compressive strength using artificial neural network and supportvector machine
Ali Reza GHANIZADEH, Hakime ABBASLOU, Amir Tavana AMLASHI, Pourya ALIDOUST
期刊论文
Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics
Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN
期刊论文
Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in
Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu
期刊论文