兰州大学机构库

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Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting 期刊论文
Energies, 2020, 卷号: 13, 期号: 3
Authors:  Yang, Y(杨裔);  Shang, Zhihao;  Chen, Yao;  Chen, Yanhua
Adobe PDF(4157Kb)  |  Favorite  |    Submit date:2020/08/06
electric load forecasting  extreme learning machine  recurrent neural network  support vector machines  multi-objective particle swarm optimization algorithm  
Classification study of skin sensitizers based on support vector machine and linear discriminant analysis 期刊论文
ANALYTICA CHIMICA ACTA, 2006, 卷号: 572, 期号: 2
Authors:  Ren, YY;  Liu, HX;  Xue, CX;  Yao, XJ(姚小军);  Liu, MC;  Fan, BT;  Yao, XJ (reprint author), Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China.
Adobe PDF(362Kb)  |  Favorite  |    Submit date:2014/12/05
classification  skin sensitization  linear discriminant analysis  support vector machine  
Damage Assessment of Earthen Sites of the Ming Great Wall in Qinghai Province: A Comparison between Support Vector Machine (SVM) and BP Neural Network 期刊论文
ACM Journal on Computing and Cultural Heritage, 2020, 卷号: 13, 期号: 2
Authors:  Du, Yumin;  Chen, Wenwu;  Cui, Kai;  Zhang, Jingke;  Chen, Zhuo;  Zhang, Qiyong
Adobe PDF(20966Kb)  |  Favorite  |    Submit date:2020/12/18
Damage assessment  earthen sites  SVM  BP Neural Network  
Speaker verification normalization sequence kernel based on Gaussian mixture model super-vector and Bhattacharyya distance 期刊论文
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL, 2019, 卷号: 40, 期号: 1, 页码: 60-71
Authors:  Xing, YuJuan;  Tan, Ping;  Wang, Xin
Adobe PDF(532Kb)  |  Favorite  |    Submit date:2020/08/27
Speaker verification  Gaussian mixture model super-vector  Bhattacharyya distance  within class covariance normalization  sequence kernel  support vector machine  Gaussiandistribution  Objectrecognition  Speechrecognition  Supportvectormachines  Vectors  Bhattacharyyadistance  GaussianMixtureModel  sequencekernel  Speakerverification  Within  classcovariance  
Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression 期刊论文
J CHEM INF COMP SCI, 2004, 卷号: 44, 期号: 4
Authors:  Yao, XJ(姚小军);  Panaye, A;  Doucet, JP;  Zhang, RS(张瑞生);  Chen, HF;  Liu, MC;  Hu, ZD(胡之德);  Fan, BT;  Fan, BT (reprint author), Univ Paris 07, ITODYS, CNRS, UMR 7086, 1 Rue Guy Brosse, F-75005 Paris, France.
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Comparative classification study of toxicity mechanisms using support vector machines and radial basis function neural networks 期刊论文
ANALYTICA CHIMICA ACTA, 2005, 卷号: 535, 期号: 1-2
Authors:  Yao, XJ(姚小军);  Panaye, A;  Doucet, JP;  Chen, HF;  Zhang, RS(张瑞生);  Fan, BT;  Liu, MC;  Hu, ZD(胡之德);  Fan, BT (reprint author), Univ Paris 07, CNRS, ITODYS, UMR 7086, 1,Rue Guy Brosse, F-75005 Paris, France.
Adobe PDF(263Kb)  |  Favorite  |    Submit date:2014/12/05
support vector machine  radial basis function neural network  classification  toxicity  phenols  narcosis mechanism  
支持向量机(SVM)和径向基神经网络(RBFNN)方法在化学、环境化学和药物化学中的应用研究 学位论文
博士, 兰州: 兰州大学, 2006
Authors:  栾锋
Favorite  |    Submit date:2019/01/18
化学信息学  定量结构-性质/活性关系  支持向量机  径向基函 数神经网络  药物化学  
Classification study of novel piperazines as antagonists for the melanocortin-4 receptor based on least-squares support vector machines 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2009, 卷号: 96, 期号: 2
Authors:  Yuan, YN;  Zhang, RS(张瑞生);  Luo, LY;  Zhang, RS (reprint author), Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China.
Adobe PDF(349Kb)  |  Favorite  |    Submit date:2014/12/05
Melanocortin-4 receptor  Antagonist  Bis-piperazines  Linear discriminant analysis  Least-squares support vector machine  
MODIS Fractional Snow Cover Mapping Using Machine Learning Technology in a Mountainous Area 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 6
Authors:  Liu, Changyu;  Huang, Xiaodong;  Li, Xubing;  Liang, Tiangang
Adobe PDF(2913Kb)  |  Favorite  |    Submit date:2020/06/01
MODIS  fractinal snow cover  UAV  Tibetan Plateau  Antennas  Backpropagation  Complex networks  Decision trees  Landforms  Mapping  Mean square error  Neural networks  Radiometers  Random forests  Snow  Support vector machines  Unmanned aerial vehicles (UAV)Back propagation artificial neural network (BPANN)  Machine learning models  Machine learning technology  Moderate resolution imaging spectroradiometer  RMSE (root mean square error)  Snow covers  
QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods 期刊论文
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2009, 卷号: 44, 期号: 5
Authors:  Hu, RJ(胡荣静);  Doucet, JP;  Delamar, M;  Zhang, RS(张瑞生);  Delamar, M (reprint author), Univ Paris 07, ITODYS, CNRS UMR 7085, Batiment Lavoisier,15 Rue Jean Antoine Baif, F-75205 Paris 13, France.
Adobe PDF(533Kb)  |  Favorite  |    Submit date:2014/12/05
QSAR  HIV-1 non-nucleoside reverse transcriptase inhibitors  NNRTI  SVM  PPR