NON-PARAMETRIC

作品数:55被引量:44H指数:3
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相关领域:医药卫生更多>>
相关作者:张存勇刘付程彭俊王淼更多>>
相关机构:华东师范大学淮海工学院广州大学清华大学更多>>
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相关基金:国家自然科学基金国家社会科学基金广西壮族自治区自然科学基金北京市自然科学基金更多>>
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Sufficient variable selection of high dimensional nonparametric nonlinear systems based on Fourier spectrum of density-weighted derivative
《Applied Mathematics and Mechanics(English Edition)》2024年第11期2011-2022,共12页Bing SUN Changming CHENG Qiaoyan CAI Zhike PENG 
Project supported by the National Key Research and Development Program of China(No.2021YFB3400700);the National Natural Science Foundation of China(Nos.12422201,12072188,12121002,and 12372017)。
The variable selection of high dimensional nonparametric nonlinear systems aims to select the contributing variables or to eliminate the redundant variables.For a high dimensional nonparametric nonlinear system,howeve...
关键词:nonlinear system identification variable selection Fourier spectrum non-parametric nonlinear system 
A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching
《IEEE/CAA Journal of Automatica Sinica》2024年第6期1424-1437,共14页Quanbo Ge Yang Cheng Hong Li Ziyi Ye Yi Zhu Gang Yao 
supported by the National Natural Science Foundation of China(62033010);Qing Lan Project of Jiangsu Province(R2023Q07)。
For accurately identifying the distribution charac-teristic of Gaussian-like noises in unmanned aerial vehicle(UAV)state estimation,this paper proposes a non-parametric scheme based on curve similarity matching.In the...
关键词:Curve similarity matching Gaussian-like noise non-parametric scheme parzen window. 
A Non-parametric Gradient-Based Shape Optimization Approach for Solving Inverse Problems in Directed Self-Assemblyof Block Copolymers
《Communications on Applied Mathematics and Computation》2024年第2期1472-1489,共18页Daniil Bochkov Frederic Gibou 
supported by the NSF DMS 1620471.
We consider the inverse problem of finding guiding pattern shapes that result in desired self-assembly morphologies of block copolymer melts.Specifically,we model polymer selfassembly using the self-consistent field t...
关键词:Block copolymers Directed self-assembly Inverse design Shape optimization Vertical interconnect accesses(VIA) 
Employing deep learning in non-parametric inverse visualization of elastic-plastic mechanisms in dual-phase steels
《Materials Genome Engineering Advances》2024年第1期120-133,共14页Siyu Han Chenchong Wang Yu Zhang Wei Xu Hongshuang Di 
supported by the National Key Research and Development Program of China(Grant No.2022YFB3304805);the National Natural Science Foundation of China(Grant Nos.52171109 and U22A20106).
Enhancing the interpretability of machine learning methods for predicting material properties is a key,yet complex topic in materials science.This study proposes an interpretable convolutional neural network(CNN)to es...
关键词:convolutional neural network(CNN) dual-phase steels MULTIMODAL stress-strain curve VISUALIZATION 
Comparative Analysis of Climatic Change Trend and Change-Point Analysis for Long-Term Daily Rainfall Annual Maximum Time Series Data in Four Gauging Stations in Niger Delta
《Open Journal of Modern Hydrology》2023年第4期229-245,共17页Masi G. Sam Ify L. Nwaogazie Chiedozie Ikebude Jonathan O. Irokwe Diaa W. El Hourani Ubong J. Inyang Bright Worlu 
The aim of this study is to establish the prevailing conditions of changing climatic trends and change point dates in four selected meteorological stations of Uyo, Benin, Port Harcourt, and Warri in the Niger Delta re...
关键词:Rainfall Time Series Data Climate Change Trend Analysis Variation Rate Change Point Dates Non-Parametric Statistical Test 
Articulating CO_(2)emissions limiting roles of nuclear energy and ICT under the EKC hypothesis:An application of non-parametric MMQR approach被引量:2
《Geoscience Frontiers》2023年第5期72-90,共19页Atif Jahanger Umer Zaman Mohammad Razib Hossain Ashar Awan 
supported by the National Social Science Fund of China(Grant No.22CJY060).
Limiting toxic elements from being exposed to the world’s atmosphere has been the biggest challenge among environmental researchers and stakeholders.Climate change conferences have been counselling the global economi...
关键词:Nuclear energy Technological innovation ICT CO_(2) Method of Moments Quantile Regression (MMQR) EKC hypothesis 
CGAN-EB: A non-parametric empirical Bayes method for crash frequency modeling using conditional generative adversarial networks as safety performance functions
《International Journal of Transportation Science and Technology》2023年第3期753-764,共12页Mohammad Zarei Bruce Hellinga Pedram Izadpanah 
The empirical Bayes(EB)method based on parametric statistical models such as the negative binomial(NB)has been widely used for ranking sites in the road network safety screening process.In this paper a novel non-param...
关键词:Crash predictive model Conditional Generative Adversarial Networks(CGAN) Crash data simulation Empirical Bayes method Safety performance function 
Mining KPI correlations for non-parametric anomaly diagnosis in wireless networks
《Science China(Information Sciences)》2023年第6期151-165,共15页Tengfei SUI Xiaofeng TAO Huici WU Xuefei ZHANG Jin XU Guoshun NAN 
supported by National Natural Science Foundation of China (Grant Nos.61941105,U21A20449);Beijing Natural Science Foundation (Grant No.L212003);the 111 Project of China (Grant No.B16006)。
The increase in mobile data traffic has imposed unprecedented pressure on wireless network management.KPI-based anomaly diagnosis can alleviate such pressure by automatically identifying the cause of abnormalities in ...
关键词:random matrix theory spectral distribution anomaly diagnosis data analysis wireless networks 
Observation of Suicide Prevention in Hospitalized Patients with Depression Based on Taihe Emotion-distress Index
《Medicinal Plant》2022年第5期92-93,111,共3页Jian ZHU 
[Objectives]To reduce suicidal ideation and suicidal behavior through initial screening of patients with suicidal tendencies and implementing suicide prevention interventions during their hospitalization.[Methods]The ...
关键词:DEPRESSION SUICIDE Taihe Emotion-distress Index(THEI) Non-parametric paired sample T test 
Exponential Continuous Non-Parametric Neural Identifier With Predefined Convergence Velocity
《IEEE/CAA Journal of Automatica Sinica》2022年第6期1049-1060,共12页Mariana Ballesteros Rita Q.Fuentes-Aguilar Isaac Chairez 
supported by the National Polytechnic Institute(SIP-20221151,SIP-20220916)。
This paper addresses the design of an exponential function-based learning law for artificial neural networks(ANNs)with continuous dynamics.The ANN structure is used to obtain a non-parametric model of systems with unc...
关键词:Exponential Lyapunov functions learning laws non-parametric identifier predefined convergence rate 
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