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科研机构

中南大学 [5]

上海大学 [5]

武汉大学 [5]

自动化研究所 [3]

北京航空航天大学 [2]

地理科学与资源研究所 [2]

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期刊论文 [32]

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	Carbon price prediction considering climate change: A text-based framework 期刊论文 ECONOMIC ANALYSIS AND POLICY, 2022, 卷号: 74, 页码: 382-401 作者: Xie, Qiwei; Hao, Jingjing; Li, Jingyu; Zheng, Xiaolong 收藏 \| 浏览/下载：40/0 \| 提交时间：2022/07/25 Carbon price prediction Text mining Climate change Long short-term memory (LSTM) Random forest (RF)
	Hyperspectral inversion of soil heavy metals in Three-River Source Region based on random forest model 期刊论文 CATENA, 2021, 卷号: 202, 页码: 10 作者: Zhou, Wei; Yang, Han; Xie, Lijuan; Li, Haoran; Huang, Lu 收藏 \| 浏览/下载：292/0 \| 提交时间：2021/07/09 Soil heavy metal Hyperspectral Random forest model (RF) Support vector machine (SVM) Three-River Source Region
	Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant 期刊论文 EEE Transactions on Computational Social Systems, 2020, 卷号: 7, 期号: 3, 页码: 686-695 作者: Yang, Linyao; Wang, Xiao; Zhang, Jun Jason; Zhou, Min; Wang, Fei-Yue 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/06/15 Agent-based modeling exit choice pedestrian crowd evacuation random forest (RF) staged evacuation
	Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm 期刊论文 ECOLOGICAL INDICATORS, 2019, 卷号: 102, 页码: 479-487 作者: Zeng, Na; Ren, Xiaoli; He, Honglin; Zhang, Li; Zhao, Dan 收藏 \| 浏览/下载：50/0 \| 提交时间：2019/09/24 Aboveground biomass (AGB) The Tibetan Plateau Random Forest (RF) Mean annual temperature (MAT) Mean annual precipitation (MAP)
	Coal consumption prediction model of space heating with feature selection for rural residences in severe cold area in China 期刊论文 SUSTAINABLE CITIES AND SOCIETY, 2019, 卷号: 50 作者: Yuan, Pengli; Lin Duanmu; Wang, Zongshan 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/02 Rural residences Inner Mongolia Energy consumption Space heating Feature selection Support vector machine (SVM) model Sensitivity analysis Partial least squares regression(PLSR) Random forest(RF)
	Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm 期刊论文 Ecological Indicators, 2019, 卷号: Vol.102, 页码: 479-487 作者: Zeng, N.; Ren, X.; He, H.; Zhang, L.; Zhao, D. 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/11/21 Aboveground biomass (AGB) Mean annual precipitation (MAP) Mean annual temperature (MAT) Random Forest (RF) The Tibetan Plateau
	Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs 期刊论文 CURRENT DRUG TARGETS, 2019, 卷号: 20, 页码: 488-500 作者: Hu, Yan[1]; Lu, Yi[2]; Wang, Shuo[3]; Zhang, Mengying[4]; Qu, Xiaosheng[5] 收藏 \| 浏览/下载：38/0 \| 提交时间：2019/04/22 Machine learning (ML) anticancer drugs linear discriminant analysis (LDA) principal components analysis (PCA) support vector machine (SVM) random forest (RF) k-nearest neighbor (kNN) naive bayes (NB) deep learning web servers
	Identification of synthetic lethality based on a functional network by using machine learning algorithms 期刊论文 JOURNAL OF CELLULAR BIOCHEMISTRY, 2019, 卷号: 120, 页码: 405-416 作者: Li, JiaRui[1]; Lu, Lin[2]; Zhang, Yu-Hang[3]; Liu, Min[4]; Chen, Lei[5] 收藏 \| 浏览/下载：24/0 \| 提交时间：2019/04/22 maximum relevance and minimum redundancy (mRMR) random forest (RF) synthetic lethality
	Identify Compounds' Target Against Alzheimer's Disease Based on In-Silico Approach 期刊论文 Current Alzheimer research, 2019, 卷号: 16, 页码: 193-208 作者: Hu Yan[1]; Zhou Guangya[2]; Zhang Chi[3]; Zhang Mengying[4]; Chen Qin[5] 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/04/22 AdaBoost Alzheimer's disease BP neural network (BP) BayesNet C4.5 K nearest-neighbors (KNN) Machine learning (ML) random forest (RF) support vector machine (SVM) web server.
	Estimation and Multiscale Transformation of Aboveground Biomass: An HGSU-Oriented Approach Based on Multisource Data 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7 作者: Du, Yingkun; Wang, Jing; Liu, Zhengjun; Lin, Yifan 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/05 Aboveground biomass (AGB) homogeneous geography and spectrum unit (HGSU) multiple scales multisource data random forest (RF)

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