Results 121 to 130 of about 59,339 (255)

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan, Sultan Shaharea, Manseeb M. Mannaf, Shihab Ahemed, Fahim Islam Anik, Md Jarir Hossain, Helal An Nahiyan, Sourav Karmaker   +7 more
wiley   +1 more source

An RBF neural network based on improved black widow optimization algorithm for classification and regression problems. [PDF]

Front Neuroinform, 2022
Liu H, Zhou G, Zhou Y, Huang H, Wei X.
europepmc   +1 more source

Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments

Journal of Field Robotics, EarlyView.
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun, Licheng Feng, Yueqi Wang, Kai Zhao, Binghao Li, Liao Wu   +5 more
wiley   +1 more source

A photosynthetic rate prediction model using improved RBF neural network. [PDF]

Sci Rep, 2022
Pu L, Li Y, Gao P, Zhang H, Hu J.
europepmc   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Regression Trend Prediction of Rolling Bearing Performance based on Integrated Soft Competition ART

Jixie chuandong, 2018
In order to improve the accuracy and stability of rolling bearing performance prediction,a prediction method combining soft predictive ART-RBF integrated forecasting model and confidence CV value is proposed.
Zhao Qiankun, Wan Xiaojin, Xu Zengbing, Wang Kai, Li Qinglei   +4 more
doaj  

Retracted: Research on the Formation Mechanism of MgO and Al₂O₃ on Composite Calcium Ferrite Based on DA-RBF Neural Network. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Horizontal Trajectory Tracking Control of Underactuated AUV Backstepping Sliding Mode Based on RBF Neural Network

水下无人系统学报
A backstepping integral sliding mode control(BISMC) trajectory tracking control method for underactuated autonomous undersea vehicle(AUV) based on radial basis function(RBF) neural network was proposed to address the challenges of difficult horizontal ...
Chu WANG, Lei WANG, Zhen HU, Baoqiang HU
doaj   +1 more source

Research on nonlinear calibration of mine catalytic-combustion-based combustible-gas sensor based on RBF neural network. [PDF]

Heliyon, 2023
Bowen W.
europepmc   +1 more source