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	Research on the Generalization Problem of BP Neural Network 期刊论文 IEEE ACCESS, 2024, 卷号: 12, 页码: 125416-125426 作者: Tian, Yanli; Fu, Deyin; Li, Guangzheng 收藏 \| 浏览/下载：22/0 \| 提交时间：2024/10/09 Training data Predictive models Analytical models Biological neural networks Data models Artificial neural networks Noise measurement Boundary samples BP neural network model dynamic clustering training set
	Dynamic Forecasting for Systemic Risk in China's Commercial Banking Industry Based on Sequence Decomposition and Reconstruction 期刊论文 IEEE ACCESS, 2023, 卷号: 11, 页码: 132068-132077 作者: Li, Zhengyong; Fu, Deyin; Li, Haiting 收藏 \| 浏览/下载：31/0 \| 提交时间：2023/12/20 Biological system modeling Banking Predictive models Indexes Time series analysis Data models Risk management Forecasting China's commercial banking industry systemic risk forecasting variational mode decomposition
	Integrated RAGA-PP water demand forecast model (case study: Shaanxi Province, China) 期刊论文 Water Science and Technology: Water Supply, 2021, 卷号: 21, 期号: 4, 页码: 1806-1816 作者: Yang, Jun; Mao, Yanning; Ma, Yuqi; Wu, Wei; Bai, Yuan 收藏 \| 浏览/下载：57/0 \| 提交时间：2023/03/06 Water resources Forecasting Forestry Genetic algorithms Water supply Water supply systems Population statistics Sales Data handling Average relative error Logarithmic models Mathematical method Optimal selection models Sustainable solution Water demand forecasting Water demand forecasts Water Demand Management
	Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文 Applied Soft Computing, 2021, 卷号: 113 作者: Jiang, Fuxin; Zhang, Chengyuan; Sun, Shaolong; Sun, Jingyun 收藏 \| 浏览/下载：71/0 \| 提交时间：2023/03/06 Acoustic noise measurement Convolution Learning systems Neural network models Convolutional neural networks Deep neural networks Forecasting Meteorology Spurious signal noise Adaptive noise Complete ensemble empirical mode decomposition with adaptive noise Convolutional neural network Data patterns Deep learning Empirical Mode Decomposition Forecasting models PM 2.5 PM2.5 concentration forecasting Temporal convolutional
	Exploring effects of rainfall intensity on soil erosion at the catchment scale using modified semmed model at the Zuli River Basin, western of loess Plateau, China 会议论文 International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 2012-07-22 - 2012-07-27 作者: Zhang, Xiaowen; Zhang, Shiqiang 收藏 \| 浏览/下载：107/0 \| 提交时间：2021/03/24 Catchments Erosion Geology Land use Landforms Models Rain Remote sensing Sediments Soils Watersheds Chinese Loess Plateau Digital elevation model Effects of rainfalls Interannual variability Rainfall intensity Remote sensing data SEMMED Soil erosion
	A Novel Multivariate Decomposition Ensemble Model with News Text for Crude Oil Price Forecasting 其他 SSRN, 2022-08-10 作者: Zhao, Zhengling 收藏 \| 浏览/下载：72/0 \| 提交时间：2022/12/21 Costs Crude oil Data fusion Forecasting Machine learning Crude oil price forecasting Crude oil prices Empirical Mode Decomposition Ensemble models Granger causality test Hybrid forecasting Machine-learning Multivariate empirical mode decomposition Sample entropy Text-mining
	Applications of data mining in CRM based on web log 会议论文 Advanced Materials Research, Hangzhou, China, 2012-03-09 - 2012-03-11 作者: Dang, Jianning; Zhang, Aiqin; Jing, Wei 收藏 \| 浏览/下载：90/0 \| 提交时间：2021/03/24 Building materials Civil engineering Competition Customer satisfaction Public relations Customer relationship management Customer relationships Data mining technology Financial service Integrated approach Key factors Market share Predictive models Weblogs
	A Dual-Module Information Fusion Aspect-Level Sentiment Classification Model 会议论文 2024 5th International Conference on Electronic Communication and Artificial Intelligence, ICECAI 2024, Hybrid, Shenzhen, China, May 31, 2024 - June 2, 2024 作者: He, Bowen; Li, Qiang; Zhang, Yihua; Zhang, Yongfu 收藏 \| 浏览/下载：16/0 \| 提交时间：2024/11/05 Classification (of information) Data fusion BERT pre-training Classification models Customer review Features fusions Multi-granularity Multi-granularity convolution Pre-training Product feature Sentiment classification Social media
	Hyperspectral Monitoring Driven by Machine Learning Methods for Grassland Above-Ground Biomass 期刊论文 Remote Sensing, 2022, 卷号: 14, 期号: 9 作者: Huang, Weiye; Li, Wenlong; Xu, Jing; Ma, Xuanlong; Li, Changhui 收藏 \| 浏览/下载：77/0 \| 提交时间：2022/05/19 Adaptive boosting Biomass Data mining Feature extraction Remote sensing Aboveground biomass Alpine grasslands Features selection Gaussian process regression Growing season HyperSpectral Interpretability Machine learning methods Machine learning models Support vectors machine

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