Results 61 to 70 of about 1,355,935 (279)

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Research on location and layout of auto-body sheet metal based on NSGA-Ⅱ and RBF neural network

Journal of Hebei University of Science and Technology, 2019
In order to solve the problem of low efficiency and easy clamping deformation in the location layout design of auto-body sheet metal,alocation layout design method of auto-body sheet metal based on NSGA-Ⅱ and RBF neural network is proposed.With the ...
Peng WANG, Jiachuan XU, Fan CAO, Di LI
doaj   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

An RBF Neural Network Combined with OLS Algorithm and Genetic Algorithm for Short-Term Wind Power Forecasting

Journal of Applied Mathematics, 2013
An accurate forecasting method for power generation of the wind energy conversion system (WECS) is urgently needed under the relevant issues associated with the high penetration of wind power in the electricity system. This paper proposes a hybrid method
Wen-Yeau Chang
doaj   +1 more source

Research of time-delay control of wireless network based on RBF neural network PID control

Gong-kuang zidonghua, 2013
In view of problems that uncertain time-delay influences on control performance of wireless network control system and normal PID control strategy cannot meet control requirement of network, the paper proposed a time-delay control scheme of wireless ...
SUN Xiao-xi, HUANG You-rui, QU Li-guo
doaj   +1 more source

Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning.

PLoS ONE, 2020
The hybrid electromagnetic and elastic foil gas bearing is explored based on the radial basis function (RBF) neural network in this study so as to improve its stabilization in work.
Xiangxi Du, Yanhua Sun
doaj   +1 more source

Parameter-Tunable RBF Neural Network Control Facing Dual-Joint Manipulators

Journal of Robotics, 2022
In order to improve the parameter control effect of the double-joint manipulator, this paper combines the RBF neural network to control the parameters of the double-joint manipulator and the command filtering backstep impedance control method based on ...
Weiying Xu
doaj   +1 more source

Application of a radial basis function neural network for diagnosis of diabetes mellitus [PDF]

, 2006
In this article an attempt is made to study the applicability of a general purpose, supervised feed forward neural network with one hidden layer, namely. Radial Basis Function (RBF) neural network.
Anitha, S, Venkatesan, P
core  

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Data Glove Gesture Ｒecognition Algorithm Based on GL-ＲBF Neural Network Optimization

Journal of Harbin University of Science and Technology, 2017
In order to solve the problem of accuracy and real-time in the process of gesture recognition of 5DT data glove，a hybrid optimization method of ＲBF(Ｒadial Basis Function) neural network gesture recognition is proposed based on LM(Levenberg Marquardt ...
LI Dong-jie, LI Yang-yang, YANG Liu
doaj   +1 more source