support vector machinesdaily load forecastingdata preprocessinggrey relation analysissample selectionsupport vector machineRegarding to the daily load forecasting, the sample selection and data preprocessing are crucial to its precision. In this paper, the grey relation analysis method is adopted to search ...
This research focuses primary on recognition of lane-change behaviors using support vector machines (SVMs). Previous research and statistical results show ... W Deng - Dissertations & Theses - Gradworks 被引量: 4发表: 2013年 Collision Avoidance Warning for Safe Lane Change Support Vector Machine ...
Research on Freight Traffic Forecast Based on Wavelet and Support Vector Machine This paper first carries on the elaboration to the least squares support vector machine (LS-SVM) forecast model. Basing on the theory of wavelet frame and ... BS Liu,YJ Li,ZW Xing,... - IEEE 被引量: 8发表...
paper starts with summariz- ing and explaining the nature o SVMs. It then proceeds to discuss optimization models or SVM ollowing three major themes. First, least squares SVM, twin SVM, AUC Maximizing SVM, and uzzy SVM are discussed or standard problems. Second, support vector ordinal ...
The Technology of support vector machine is studied in this paper.The principle of SVM is given.The questions of mercer function,multiple category and efficient algorithms to solve large data set.The application of researches,such as text categorization,character/script identification,face detection,intr...
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on support vector machines are discussed in a new report. According to news reporting out of Zhenjiang, People's Republic of China, by NewsRx editors, research stated, "Several parame...
The performance of support vector machines as learning algorithm was evaluated on a dataset of 15000 malicious and 12000 benign samples where 70% were used for training and 30% for testing. The gray scale image representation of software has some drawbacks directly related to how images are ...
A novel approach is proposed in this paper for STLF by combining the wavelet transforms and support vector machines (SVM). The e... Y Li,T Fang - International Conference on Wavelet Analysis & Its Applications 被引量: 22发表: 2015年 Short-Term Wind Speed Forecasting Based on Optimizated ...
液体状态机( Liquid State Machines,LSM )是一种本质上由递归随机脉冲神经网络和多个读出神经元(张杰等, 2015)组成的计算模型。脉冲神经网络( Spiking Neural Network,SNN )参照Wall和Glackin ( 2013 )的方法,是目前生物激励最多的第三代人工神经元。它们比前几代人工神经元更受欢迎,因为脉冲神经元在时间域中运行...
关键词:模糊支持向量机;支持向量机;灰色关联分析法;煤与瓦斯突出中图分类号:X936 文献标志码:A doi:10畅11731/j.issn.1673 193x.2014畅04畅018ResearchoncoalandgasoutburstpredictionusingfuzzysupportvectormachinesYANGLi,GENGJi chao,WANGKe liang(SchoolofEconomics&Management,AnhuiUniversityofScienceandTechnology,...