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科研机构

地理科学与资源研究所 [8]

兰州理工大学 [6]

数学与系统科学研究院 [6]

自动化研究所 [6]

成都山地灾害与环境研... [4]

金属研究所 [2]

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期刊论文 [40]

会议论文 [1]

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2020 [41]

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发表日期：2020

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	Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文 ENERGY, 2020, 卷号: 212, 页码: 13 作者: Li, Chengdong; Zhou, Changgeng; Peng, Wei; Lv, Yisheng; Luo, Xin 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/03/08 PV power generation prediction Deep fuzzy model Double input rule module Data driven method Least square method
	System Deformation Behavior of Friction Pair in Fretting Wear 期刊论文 JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME, 2020, 卷号: 142, 期号: 12, 页码: 8 作者: Wang, Jianfei; Xue, Weihai; Gao, Siyang; Wu, Bi; Li, Shu 收藏 \| 浏览/下载：32/0 \| 提交时间：2021/02/02 fretting wear gross slip partial slip fretting regime prediction fretting wear model dry friction stick-slip tribological systems wear wear mechanisms
	System Deformation Behavior of Friction Pair in Fretting Wear 期刊论文 JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME, 2020, 卷号: 142, 期号: 12, 页码: 8 作者: Wang, Jianfei; Xue, Weihai; Gao, Siyang; Wu, Bi; Li, Shu 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/02/02 fretting wear gross slip partial slip fretting regime prediction fretting wear model dry friction stick-slip tribological systems wear wear mechanisms
	Global Warming Prediction Model of Fish Migration Based on ArcGIS 会议论文 Ottawa, ON, Canada, October 16, 2020 - October 18, 2020 作者: Yipeng, Zhang; Dichao, Ning; Wentao, He 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/12/18 Environmental technology Fish Fisheries Forecasting Geographic information systems Global warming Interpolation Seawater effects Sustainable developmentArcgis softwares Fish migration Fish movements Kriging interpolation Linear Interpolation Nuclear densities Prediction model Seawater temperature
	Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review 期刊论文 WILEY INTERDISCIPLINARY REVIEWS-WATER, 2020, 页码: 32 作者: Guo, Yuhan; Zhang, Yongqiang; Zhang, Lu; Wang, Zhonggen 收藏 \| 浏览/下载：15/0 \| 提交时间：2021/03/16 hydrological model parameterization regionalization runoff prediction ungauged basin
	An optimized industry processing technology of peanut tofu and the novel prediction model for suitable peanut varieties 期刊论文 JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 9, 页码: 2340-2351 作者: Chen Bing-yu; Li Qi-zhai; Hu Hui; Meng Shi; Shah, Faisal 收藏 \| 浏览/下载：69/0 \| 提交时间：2020/09/23 peanut tofu process quality peanut variety selection evaluation standard prediction model
	Learning to Rank Sports Teams on a Graph 期刊论文 APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 17, 页码: 10 作者: Shi, Jian; Tian, Xin-Yu 收藏 \| 浏览/下载：5/0 \| 提交时间：2021/01/14 sports ranking graph model prediction basketball
	Probabilistic framework for fatigue life assessment of notched components under size effects 期刊论文 INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2020, 卷号: 181, 页码: 12 作者: Liao D; Zhu SP(朱顺鹏); Keshtegar B; Qian GA(钱桂安); Wang QY 收藏 \| 浏览/下载：30/0 \| 提交时间：2020/08/26 Notch Fatigue Size effect Failure probability Life prediction Weibull model
	Online estimation of the state of charge of a lithium-ion battery based on the fusion model 期刊论文 Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2020, 卷号: 42, 期号: 9, 页码: 1200-1208 作者: Wang, Xiao-lan; Jin, Hao-qing; Liu, Xiang-yuan 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/11/14 Accident prevention Accidents Carbon Charging (batteries) Circuit simulation Climate change Data fusion Electric automobiles Energy utilization Environmental technology Equivalent circuits Errors Extended Kalman filters Ions Lithium-ion batteries Machine learning Pollution control Predictive analytics Application requirements Environmental pollutions Equivalent circuit model Error prediction model Extended Kalman filtering Extreme learning machine Low carbon transportations Reduce energy consumption
	A Prediction Model for Ultra-Short-Term Output Power of Wind Farms Based on Deep Learning 期刊论文 INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020, 卷号: 15, 期号: 4, 页码: 18 作者: Wang, Y. S.; Gao, J.; Xu, Z. W.; Luo, J. D.; Li, L. X. 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/12/10 wind power output power ultra-short-term prediction deep learning (DL) long short-term memory (LSTM) model

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