中国科学院机构知识库网格系统: 检索

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	A Unified Deterioration Model for Elastic Modulus of Rocks with Coupling Influence of Plastic Shear Strain and Confining Stress 期刊论文 OAI收割 ROCK MECHANICS AND ROCK ENGINEERING, 2022, 卷号: 55, 期号: 12, 页码: 7409 作者: Cui, Lan; Sheng, Qian; Zheng, Junjie; Xie, Mingxing; Liu, Yang \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/08/02 Elastic modulus Plastic strain Confining stress Deterioration model Nonlinear fitting regression method
	Investigation of the compact torus plasma motion in the KTX-CTI device based on circuit analyses 期刊论文 OAI收割 Plasma Science and Technology, 2022, 卷号: 24 作者: DONG,Qilong; KONG,Defeng; WU,Xiaohe; YE,Yang; YANG,Kun \| 收藏 \| 浏览/下载：53/0 \| 提交时间：2022/03/21 compact torus (CT) circuit modelling nonlinear regression analysis (NRA) point model
	Linear screening for high-dimensional computer experiments 期刊论文 OAI收割 STAT, 2021, 卷号: 10, 期号: 1, 页码: 9 作者: Li, Chunya; Chen, Daijun; Xiong, Shifeng \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2022/04/02 best linear approximation best subset regression nonlinear model sure independence screening
	Nonlinear responses of temperature sensitivities of community phenophases to warming and cooling events are mirroring plant functional diversity 期刊论文 OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 253, 页码: 31-37 作者: Du, Mingyuan; Tsechoe, Dorji; Wang, Zhezhen; Lv, Wangwang; Renzeng, Wangmu \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2018/12/05 Simpson's Diversity Index Community Phenophases Warming And Cooling Temperature Sensitivity Nonlinear Regression Model
	A hybrid ar-emd-svr model for the short-term prediction of nonlinear and non-stationary ship motion 期刊论文 iSwitch采集 Journal of zhejiang university-science a, 2015, 卷号: 16, 期号: 7, 页码: 562-576 作者: Duan, Wen-yang; Huang, Li-min; Han, Yang; Zhang, Ya-hui 收藏 \| 浏览/下载：50/0 \| 提交时间：2019/05/09 Nonlinear and non-stationary ship motion Short-term prediction Empirical mode decomposition (emd) Support vector regression (svr) model Autoregressive (ar) model
	Tracking error modeling of the theodolite based on GRNN method (EI CONFERENCE) 会议论文 OAI收割 2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011, December 11, 2011 - December 13, 2011, Taichung, Taiwan 作者: Li M. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 To meet the requirement of high tracking accuracy as well as develop more reasonable evaluation method in this paper the General Regression Neural Network (GRNN) has been applied to build the tracking error model of the theodolite. First we analyze the nonlinear factors in the theodolite. Second we discuss the principle of GRNN including its structure the function as well as its priors. Third we build the tracking error model based on GRNN and verify the model through the different parameters. The result indicated that the network model based on GRNN has high accuracy and good generalization ability. It could instead the real system to a certain extent. The research in this paper has important value to the engineering practice.
	Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China 期刊论文 OAI收割 CHINESE GEOGRAPHICAL SCIENCE, 2010, 卷号: 20, 期号: 2, 页码: 152-158 作者: Jiang Yan; Liu Changming; Zheng Hongxing; Li Xuyong; Wu Xianing 收藏 \| 浏览/下载：21/0 \| 提交时间：2015/07/30 river runoff runoff forecast nonlinear mixed regression model linear multi-regression model linear mixed regression model BP neural network
	Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China SCI/SSCI论文 OAI收割 2010 Jiang Y.; Liu C. M.; Zheng H. X.; Li X. Y.; Wu X. N. 收藏 \| 浏览/下载：30/0 \| 提交时间：2012/06/08 river runoff runoff forecast nonlinear mixed regression model linear multi-regression model linear mixed regression model BP neural network bone