Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines [PDF]
, 2023 Aiming at the multi-objective optimization of boiler combustion system, on the basis of the established prediction model of boiler combustion system, the weighted-particle swarm algorithm and the multi-objective particle swarm optimization (MOPSO ...
GAN Yunhua +5 more
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Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine [PDF]
, 2022 To predict the slagging on heating surface of coal-fired boilers, BP neural network (BPNN) and least squares support vector machine (LSSVM) prediction models were established to predict ash fusion temperature, deformation temperature (DT) and softening ...
LIU Yanpeng, SHI Hao, XIAO Haiping
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Zhejiang Daxue xuebao. Lixue ban, 2022 房价预测、共享单车出租数量预测、空气污染情况预测等常涉及矛盾方程组求解，对其数值求解方法研究具有重要的理论意义与应用价值。当矛盾方程组规模过大时，用传统的最小二乘法求解，不仅计算量大，而且由于误差积累使最终结果的准确性不高。鉴于此，采用机器学习中的最小二乘支持向量机（least squares support vector machine，LS-SVM）算法求解大规模矛盾方程组，并分别针对线性、非线性、单变量、多变量矛盾方程组进行了数值求解。数值结果表明，数据类型和数据量的变化对结果的影响不大 ...
ZHENGSupei(郑素佩) +3 more
doaj +1 more source
Classifier of silicon content in hot metal based on support vector machines(基于支持向量机的高炉铁水硅含量多类别分类)
Zhejiang Daxue xuebao. Lixue ban, 2007 支持向量机是基于统计学习理论发展而来的一种机器学习算法，本文介绍了非线性软间隔分类机、最小二乘分类机和加权最小二乘分类机的算法.以山东莱钢1号高炉在线采集数据作为应用案例，使用C-均值算法对[Si]做聚类分析将其分成5类，改进M-ary分类方法实现对铁水硅质量分数[Si]的多类别分类，并对各分类机的性能作出评价.
JIANLing(渐令) +2 more
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Study on upper limb joint angle prediction method based on sEMG
Xibei Gongye Daxue Xuebao, 2022 Aiming at the problems of insufficient human-computer interaction and human-machine coupling in the rehabilitation training process, a prediction model of upper limb joint angle is proposed and verified by experiments.
KONG Dezhi +3 more
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Forecasting the All-Weather Short-Term Metro Passenger Flow Based on Seasonal and Nonlinear LSSVM [PDF]
, 2021 Accurate metro ridership prediction can guide passengers in efficiently selecting their departure time and simultaneously help traffic operators develop a passenger organization strategy.
Huang, Xin +4 more
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Zhongguo youzhi, 2023 为实现对市面上常见以及实际案件中出现的动物油样本进行快速无损识别，借助光谱分析技术和机器学习算法，基于连续分类策略，对不同动物油样本在种类及品牌/来源地方面进行区分和认定。收集了247份动物油样本(鸡油、牛油、鹅油、猪油、羊油、鸭油)，对其进行红外光谱扫描，采用自动基线校正和峰面积归一化消除样本基线漂移和量纲不一致情况；再分别采用Savitzky-Golay平滑、二项式平滑、邻域平均法、FFT滤波、一阶导数和二阶导数对红外光谱进行预处理，比较了6种预处理方法在降噪方面的差异性 ...
邱薇纶1，王晓庆2 QIU Weilun1, WANG Xiaoqing2
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Semiparametric estimation of SVM in frameable RKHS(标架型RKHS中的SVM的半参数估计)
Zhejiang Daxue xuebao. Lixue ban, 2008 在基于标架型的再生核希尔伯特空间中，研究了SVM算法下，解的对偶形式和原形式之间的关系，进而将SVM算法与最小二乘法相结合，讨论了支持向量机的半参数估计.
ZHOUDe-qiang(周德强)
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A comparative study on NLOS error elimination methods based on channel measurement experiment
Xibei Gongye Daxue Xuebao, 2022 In order to study the performance of different elimination methods on the distance estimation forward error caused by the non-line-of-sight (NLOS) propagation of radio signals, this paper is based on the mean value, root mean square delay spread ...
CHANG Tiantian +5 more
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Image spam identification method based on gray-gradient co-occurrence matrix [PDF]
, 2013 In order to avoid the detection of the spam system based on text,more and more spammers have embedded text information into the image.An image spam identification method based on gray-gradient co-occurrence matrix (GGCM) was proposed to detect image spam
Bing FENG, Gang-lu HUA, Zhi-tang LI
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