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兰州大学 [10]

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	A Hybrid Method Based on Singular Spectrum Analysis, Firefly Algorithm, and BP Neural Network for Short-Term Wind Speed Forecasting 期刊论文 ENERGIES, 2016, 卷号: 9, 期号: 1-10 作者: Gao, YY; Qu, C; Zhang, KQ 收藏 \| 浏览/下载：6/0 \| 提交时间：2017/05/09 hybrid method short-term wind speed series forecasting forecasting accuracy neural network artificial intelligence optimization algorithm
	A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting 期刊论文 APPLIED MATHEMATICAL MODELLING, 2015, 卷号: 39, 期号: 9, 页码: 2617-2632 作者: Chen, YH; Yang, Y; Liu, CQ; Li, CH; Li, L 收藏 \| 浏览/下载：4/0 \| 提交时间：2016/07/15 Electric load forecasting Empirical mode decomposition Seasonal adjustment PSO LSSVM
	Interval forecasts of a novelty hybrid model for wind speeds 期刊论文 Energy Reports, 2015, 卷号: 1, 页码: 8-16 作者: Qin, Shanshan; Liu, Feng; Wang, Jianzhou; Song, Yiliao 收藏 \| 浏览/下载：6/0 \| 提交时间：2017/01/16 Wind Backpropagation Electric power generation Forecasting Neural networks Optimization Speed Stochastic systems Uncertainty analysis Wind effects Wind power Back-propagation neural networks Coverage probabilities Lower and upper bounds Nonlinear characteristics Renewable energies Traditional models Wind speed forecast Wind speed forecasting
	A Novel Hybrid FA-Based LSSVR Learning Paradigm for Hydropower Consumption Forecasting 期刊论文 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2015, 卷号: 28, 期号: 5, 页码: 1080-1101 作者: Tang, L; Wang, ZS; Li, XX; Yu, L; Zhang, GX 收藏 \| 浏览/下载：0/0 \| 提交时间：2017/01/10 Artificial intelligence firefly algorithm hybrid model hydropower consumption least squares support vector regression time series forecasting
	Day-ahead electricity demand forecasting using a hybrid method 会议论文 4th International Conference on Computer Engineering and Networks, CENet2014, Shanghai, China, July 19, 2014 - July 20, 2014 作者: Li, Zirong; Zhang, Xiaohe; Li, Yan; Liu, Chun 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/01/18 Electric load forecasting Artificial intelligence Computer networks Electric power utilization Forecasting Least squares approximations Particle swarm optimization (PSO) Support vector machines Demand forecasting Electricity demand forecasting Electricity demands Hybrid method Least square support vector machines New South Wales Particle swarm optimization algorithm Seasonal adjustments
	Swarm Intelligence-Based Hybrid Models for Short-Term Power Load Prediction 期刊论文 MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 页码: - 作者: Wang, JZ; Jin, SQ; Qin, SS; Jiang, HY 收藏 \| 浏览/下载：3/0 \| 提交时间：2015/12/16
	Application of the Hybrid SVM-KNN Model for Credit Scoring 会议论文 9th International Conference on Computational Intelligence and Security (CIS), PEOPLES R CHINA, DEC 14-15, 2013 作者: Zhou, HH; Wang, JJ; Wu, JD; Zhang, L; Lei, P 收藏 \| 浏览/下载：1/0 \| 提交时间：2017/01/18 credit scoring SVM KNN hybrid model
	A CPU-GPU hybrid computing framework for real-time clothing animation 会议论文 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS2011, Beijing, China, September 15, 2011 - September 17, 2011 作者: Li, Hanwen; Wan, Yi; Ma, Guanghui 收藏 \| 浏览/下载：4/0 \| 提交时间：2017/01/18 Cloud computing Animation Computer simulation Computer software selection and evaluation Real time systems clothing animation Collision detection CUDA GPU mass-spring model parallel computation
	Prediction of ozone concentration using back propagation neural network with a novel hybrid training algorithm 会议论文 2010 6th International Conference on Natural Computation, ICNC'10, Yantai, Shandong, China, August 10, 2010 - August 12, 2010 作者: Zhang, Wen-Yu; Liu, Xin; Guo, Zhen-Hai; Wang, Jian-Zhou 收藏 \| 浏览/下载：2/0 \| 提交时间：2017/01/18 Neural networks Arid regions Backpropagation Forecasting Ozone Particle swarm optimization (PSO) Regression analysis Back propagation neural networks BP model BP neural networks Hybrid forecasting Hybrid model Hybrid training Ozone concentration Particle swarm Particle swarm optimization algorithm Regression model Root mean square errors Semiarid area Stepwise regression
	Quality modeling of chemical product based on a new chaotic Elman neural network 会议论文 5th International Conference on Natural Computation, ICNC 2009, Tianjian, China, August 14, 2009 - August 16, 2009 作者: Yang, Ling; Song, Jun; Jin, Qiang 收藏 \| 浏览/下载：2/0 \| 提交时间：2017/01/18 Neural networks Chaos theory Computer simulation Distillation Nonlinear feedback Nonlinear systems Propylene Quality control System stability BP algorithm Chemical products Elman network Elman neural network Global minima High-order nonlinear system Hybrid feedback Local minimums Lyapunov stability theory Predictive precision Product quality Quality modeling Simulation result Training speed Unknown delay

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