全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Yanhua Li , Jiuping Wang , Juan Wang ...
来源:[J].Virology Journal(IF 2.092), 2017, Vol.14 (1)Springer
摘要:Chronic HCV Patients taking PEG-IFN-α/R from different ethnic groups have different probabilities of reaching a sustained viral response (SVR). There are many influence factors, such as HCV genotype, IL-28B single-nucleotide polymorphisms (SNP), Fibrosis 4 index (FIB-4), and ...
作者:Min-Liang Huang
来源:[J].Energies(IF 1.844), 2016, Vol.9 (6)DOAJ
摘要:... This investigation presents a support vector regression (SVR)-based load forecasting model which hybridizes the chaotic mapping function and quantum particle swarm optimization algorithm with a support vector regression model, namely the SVRCQPSO (support vector regression wi...
作者:Cheng-Wen Lee , Bing-Yi Lin
来源:[J].Energies(IF 1.844), 2016, Vol.9 (11)DOAJ
摘要:Hybridizing chaotic evolutionary algorithms with support vector regression (SVR) to improve forecasting accuracy is a hot topic in electricity load forecasting. Trapping at local optima and premature convergence are critical shortcomings of the tabu search (TS) algorithm. This pa...
作者:Hongde Qin , Chong Wang , Yu Jiang ...
来源:[J].EURASIP Journal on Wireless Communications and Networking(IF 0.54), 2018, Vol.2018 (1), pp.1-10Springer
摘要:... These data can be applied to analyze the oceanic thermocline, and the forecasting trend of the thermocline through the SVR method in machine learning is presented in this paper. Firstly, this paper refines the spatial resolution with the SVR method and determines the lat...
作者:Ming-Wei Li , Jing Geng , Wei-Chiang Hong ...
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.621-640Springer
摘要:... Firstly, in view of the v -support vector regression hybridized with Gauss function (briefed as Gauss- v SVR model), to well solve the nonlinear and mixed noises, this paper uses this model to simulate the nonlinear evolving system of port throughput series. Then, to look for...
作者:Iman Khosravi , Yaser Jouybari-Moghaddam , Mohammad Reza Sarajian
来源:[J].Natural Hazards(IF 1.639), 2017, Vol.87 (3), pp.1507-1522Springer
摘要:This paper aims to employ and compare four methods of neural network (NN), support vector regression (SVR), least squares support vector regression (LSSVR) and adaptive neuro-fuzzy inference system (ANFIS) for modeling the time series behavior of the meteorological and the r...
作者:Mohanad S. Al-Musaylh , Ravinesh C. Deo , Jan F. Adamowski ...
来源:[J].Advanced Engineering Informatics(IF 1.593), 2018, Vol.35, pp.1-16Elsevier
摘要:... These techniques are based on the Multivariate Adaptive Regression Spline (MARS), Support Vector Regression (SVR), and Autoregressive Integrated Moving Average (ARIMA) models. This study is focused in Queensland, Australia’s second largest state, where end-user demand for...
作者:Mahmoud M. Elkhoudary , Ibrahim A. Naguib , Randa A. Abdel Salam ...
来源:[J].Journal of Fluorescence(IF 1.789), 2017, Vol.27 (3), pp.1149-1160Springer
摘要:...22 for PCR, PLS, SVR and PC-linANN; respectively. The results showed the superiority of supervised learning machines’ methods over principle component based methods. Besides, the results suggested that linANN is the method of choice for determination of components in lo...
作者:Akshanth R. Polepally , Haoyu Wang , Patrick J. Marroum ...
来源:[J].The AAPS Journal(IF 4.386), 2017, Vol.19 (5), pp.1523-1535Springer
摘要:... Exposure-response analyses using efficacy data from phase 2/3 studies of the 3-DAA regimen demonstrated that the lower dasabuvir C trough for the 3QD regimen (under fed condition) would have minimal impact on sustained virologic response at week 12 post-treatment (SVR...
作者:Yongbao Chen , Peng Xu , Yiyi Chu ...
来源:[J].Applied Energy(IF 4.781), 2017, Vol.195, pp.659-670Elsevier
摘要:... Inspired by the strong non-linear capabilities of Support Vector Regression (SVR), this paper proposes a new SVR forecasting model with the ambient temperature of two hours before DR event as input variables. We use electricity loads for four typical office buildings as sampl...

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