中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地质与地球物理研究... [10]
地理科学与资源研究所 [5]
长春光学精密机械与物... [5]
数学与系统科学研究院 [5]
遥感与数字地球研究所 [5]
力学研究所 [1]
更多
采集方式
OAI收割 [38]
内容类型
期刊论文 [24]
会议论文 [12]
SCI/SSCI论文 [2]
发表日期
2022 [2]
2021 [1]
2018 [3]
2016 [1]
2014 [1]
2013 [1]
更多
学科主题
Physics [1]
筛选
浏览/检索结果:
共38条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model
期刊论文
OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 8, 页码: 16
作者:
Wu, Xinping
;
Xu, Minjie
;
Gao, Guandong
;
Yin, Baoshu
;
Lv, Xianqing
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2023/01/12
vertical eddy viscosity coefficient
Ekman model
adjoint assimilation
triangular polynomial interpolation
Polynomial dendritic neural networks
期刊论文
OAI收割
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 18
作者:
Chen, Yuwen
;
Liu, Jiang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/08/22
Dendritic action
Interpretability
Polynomial neural networks
White-box model
An Improved Depth-Based Camera Model in Binocular Visual System
会议论文
OAI收割
Changzhou, China, September 24-26,. 2021
作者:
Xia ZY(夏中原)
;
Zhao JB(赵吉宾)
;
Xia RB(夏仁波)
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/12/13
depth-based
camera model
polynomial
stereo calibration gauge
binocular visual system
AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL
期刊论文
OAI收割
THERMAL SCIENCE, 2018, 卷号: 22, 期号: 4, 页码: 1581-1588
作者:
Wang, Kai-Wen
;
Yang, Xiao-Hua
;
Li, Yu-Qi
;
Liu, Chang-Ming
;
Guo, Xing-Jian
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2019/05/23
Philip infiltration model
gray-encoded genetic algorithm
USDA soil texture triangle
Chebyshev polynomial
AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL
期刊论文
OAI收割
THERMAL SCIENCE, 2018, 卷号: 22, 期号: 4, 页码: 1581-1588
作者:
Wang, Kai-Wen
;
Yang, Xiao-Hua
;
Li, Yu-Qi
;
Liu, Chang-Ming
;
Guo, Xing-Jian
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/05/23
Philip infiltration model
gray-encoded genetic algorithm
USDA soil texture triangle
Chebyshev polynomial
AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL
期刊论文
OAI收割
THERMAL SCIENCE, 2018, 卷号: 22, 期号: 4, 页码: 1581-1588
作者:
Wang, Kai-Wen
;
Yang, Xiao-Hua
;
Li, Yu-Qi
;
Liu, Chang-Ming
;
Guo, Xing-Jian
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/05/23
Philip infiltration model
gray-encoded genetic algorithm
USDA soil texture triangle
Chebyshev polynomial
高压捕获翼位置设计方法研究
期刊论文
OAI收割
力学学报, 2016, 卷号: 48, 期号: 3, 页码: 576-584
作者:
李广利
;
崔凯
;
肖尧
;
徐应洲
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2016/12/16
high-speed vehicles
high pressure capturing wing
uniform experimental design
polynomial surrogate model
Generalization ability of fractional polynomial models
期刊论文
OAI收割
NEURAL NETWORKS, 2014, 卷号: 49, 页码: 59-73
作者:
Lei, Yunwen
;
Ding, Lixin
;
Ding, Yiming
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2015/06/24
Learning algorithm
Learning theory
Fractional polynomial
Model selection
Approximation theory
Chlorophyll - A vertical distribution of Yantai coastal waters
会议论文
OAI收割
2013 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013, Nanjing, China, July 26, 2013 - July 28, 2013
Ma, Wandong(1)
;
Wang, Qiao(1)
;
Wu, Chuanqing(1)
;
Yin, Shoujing(1)
;
Xing, Qianguo(2)
;
Shi, Ping(2)
;
Liu, Dongyan(2)
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2015/08/10
Chlorophyll
Chlorophyll a
Coastal waters
Gaussian model
Negative correlation
Polynomial modeling
Primary production
Vertical direction
Vertical distributions
Scaled total-least-squares-based registration for optical remote sensing imagery
SCI/SSCI论文
OAI收割
2012
作者:
Ge Y.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2014/12/25
Image registration
Polynomial regression model
Error-in-variables
model
Ordinary least squares
Scaled total least squares
Singular
value decomposition
temporal dependence
error propagation
model
accuracy
impact