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兰州大学 [12]

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湖南大学 [5]

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	A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文 ENERGY, 2022, 卷号: 238, 页码: 14 作者: Yang, Wendong; Sun, Shaolong; Hao, Yan; Wang, Shouyang 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/04/02 Electricity price Forecasting Hybrid model Model selection Kernel-based extreme learning machine
	Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文 RESOURCES POLICY, 2021, 卷号: 74, 页码: 10 作者: Du, Pei; Guo, Ju'e; Sun, Shaolong; Wang, Shouyang; Wu, Jing 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/04/02 Metal prices forecasting Data processing method Optimized extreme learning machine Hybrid forecasting model
	Prediction of octane number of finished gasoline blend based on SHPSO-GA-BP 期刊论文 Huagong Xuebao/CIESC Journal, 2020, 卷号: 71, 期号: 7, 页码: 3191-3200 作者: Li, Wei; Wang, Xiaoming; Jiang, Dongnian; Li, Yajie; Liang, Chenglong 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/12/18 Antiknock rating Backpropagation Forecasting Gasoline Particle swarm optimization (PSO) Predictive analyticsBackpropagation network Complex condition Finished products Gasoline blends Hybrid particles Measurement technologies Prediction model Prediction performance
	Water level forecasting using a hybrid algorithm of artificial neural networks and local Kalman filtering 期刊论文 Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 2019, 卷号: 233, 期号: 1, 页码: 174-185 作者: Zhong, Cheng; Jiang, Zhonglian*; Chu, Xiumin; Guo, Tao; Wen, Quan 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/12/04 Water level forecasting artificial neural network model Kalman filtering hybrid algorithm Yangtze River
	Application of a Hybrid Model Based on Echo State Network and Improved Particle Swarm Optimization in PM2.5 Concentration Forecasting: A Case Study of Beijing, China 期刊论文 SUSTAINABILITY, 2019, 卷号: 11 作者: Xu, Xinghan; Ren, Weijie 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/02 air quality PSO ESN hybrid model PM2 5 forecasting sustainable development
	A hybrid modelling method for time series forecasting based on a linear regression model and deep learning 期刊论文 Applied Intelligence, 2019, 卷号: Vol.49 No.8, 页码: 3002-3015 作者: Wenquan Xu; Hui Peng; Xiaoyong Zeng; Feng Zhou; Xiaoying Tian 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/13 Hybrid model Time series forecasting Linear regression Deep learning
	A hybrid modelling method for time series forecasting based on a linear regression model and deep learning 期刊论文 APPLIED INTELLIGENCE, 2019, 卷号: Vol.49 No.8, 页码: 3002-3015 作者: Xu, WQ; Peng, H 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/17 Hybrid model Time series forecasting Linear regression Deep learning
	Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks 期刊论文 2019, 卷号: 33, 页码: 1571-1590 作者: He, Xinxin; Luo, Jungang; Zuo, Ganggang; Xie, Jiancang 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/20 Daily runoff forecasting Hybrid model Variational mode decomposition Deep neural networks
	Hybrid SVM and ARIMA Model for failure time series prediction based on EEMD 期刊论文 International Journal of Performability Engineering, 2019, 卷号: 15, 页码: 1161-1170 作者: Sun, Haiyan; Wu, Jing; Wu, Ji; Yang, Haiyan 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/30 Data handling Linear regression Support vector machines Time series Auto-regressive integrated moving average Ensemble empirical mode decomposition Failure time Hybrid model Support vector machines regression Forecasting
	A hybrid short-term traffic flow forecasting model based on time series multifractal characteristics 期刊论文 APPLIED INTELLIGENCE, 2018, 卷号: 48, 期号: 8, 页码: 2429-2440 作者: Zhang, Hong; Wang, Xiaoming; Cao, Jie; Tang, Minan; Guo, Yirong 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/15 Hybrid model Traffic flow Multifractal characteristics Short-term forecasting Periodic regression Volatility analysis

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