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...
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...
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...
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...
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...
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...
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...
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 ...
[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 ...
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...