Results 141 to 150 of about 59,820 (274)

Trajectory Planning of Robot Manipulator Based on RBF Neural Network. [PDF]

Entropy (Basel), 2021
Song Q, Li S, Bai Q, Yang J, Zhang A, Zhang X, Zhe L.   +6 more
europepmc   +1 more source

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations

Mathematics
In scientific computing, neural networks have been widely used to solve partial differential equations (PDEs). In this paper, we propose a novel RBF-assisted hybrid neural network for approximating solutions to PDEs.
Ying Li, Wei Gao, Shihui Ying
doaj   +1 more source

Water resource carrying capacity and obstacle factors in the Yellow River basin based on the RBF neural network model. [PDF]

Environ Sci Pollut Res Int, 2023
Sun X, Zhou Z, Wang Y.
europepmc   +1 more source

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canning color retention is a key quality trait in dry bean (Phaseolus vulgaris L.) breeding, influencing consumer acceptance and commercial value. Public breeding programs maintain canning quality as a selection trait of importance, but existing color evaluation methods such as visual rating are subjective, while instrument colorimetry is ...
Lovepreet Singh, Om Sai Krishna Madhav Lella, Evan M. Wright, Karen Cichy, Valerio Hoyos‐Villegas   +4 more
wiley   +1 more source

A New Fuzzy Backstepping Control Based on RBF Neural Network for Vibration Suppression of Flexible Manipulator

Applied Sciences
Flexible manipulators have been widely used in industrial production. However, due to the poor rigidity of the flexible manipulator, it is easy to generate vibration. This will reduce the working accuracy and service life of the flexible manipulator.
Zhiyong Wei, Qingchun Zheng, Peihao Zhu, Wenpeng Ma, Jieyong Deng   +4 more
doaj   +1 more source

Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network. [PDF]

Comput Math Methods Med, 2022
Fang Y, Shi J, Huang Y, Zeng T, Ye Y, Su L, Zhu D, Huang J.   +7 more
europepmc   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

The Application of RBF Neural Network Model Based on Deep Learning for Flower Pattern Design in Art Teaching. [PDF]

Comput Intell Neurosci, 2022
Xiao L, Luo Y.
europepmc   +1 more source

Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease

Analytical Science Advances, Volume 7, Issue 1, June 2026.
ABSTRACT Heart disease (HD) is still one of the most common causes of death around the world. Early detection is very important, but it is often hard to do because the symptoms are not specific and the models are not very clear. We propose a two‐layer stacked ensemble that combines four base learners—Support Vector Machine, K‐Nearest Neighbors, Naïve ...
Nazmun Nahar, Sanjatul Hasan Siam, Joy Bhowmik, Ayesha Nasrin Ripa, Md. Hasan Imam, Haw Jiunn Woo, Hamid Osman, Mayeen Uddin Khandaker, Shams Forruque Ahmed   +8 more
wiley   +1 more source