Zobrazeno 1 - 10
of 5 325
pro vyhledávání: '"Radial basis function neural"'
Autor:
Anwar Mira, Olaf Hellwich
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 7, Pp 957-977 (2024)
Deep neural networks (DNNs) can face limitations during training for recognition, motivating this study to improve recognition capabilities by optimizing deep learning features for hand gesture image recognition. We propose a novel approach that enha
Externí odkaz:
https://doaj.org/article/0eaba72fb2704db29b1779721037bed2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract In many engineering optimization problems, the number of function evaluations is severely limited by the time or cost constraints. These limitations present a significant challenge in the field of global optimization, because existing metahe
Externí odkaz:
https://doaj.org/article/d77b91220c724ea2b46b3362518602ad
Autor:
Yue-Ting Liu, Yan Zhang
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 7, Pp 2837-2845 (2024)
Given the large hysteresis in the material outlet temperature of the heating furnace, a differential evolution algorithm with adaptive adjustment factors (AAFDE)-radial basis function (RBF)-proportional integral derivative (PID)-PI cascade is propose
Externí odkaz:
https://doaj.org/article/198005c060254db085b83cad8bdd14da
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37426- (2024)
Drought has a significant impact on crop growth and productivity, highlighting the critical need for precise and timely soil moisture estimation to mitigate agricultural losses. This study focuses on soil moisture retrieval in northern Hebei Province
Externí odkaz:
https://doaj.org/article/b237f3bb89c54189ad8babac338c1d2c
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
The paper proposes a low-pass filter adaptive iterative learning control (LPF-AILC) strategy for unmatched, uncertain, time-varying, non-parameterized nonlinear systems (NPNL systems). To address the difficulty of nonlinear parameterization terms in
Externí odkaz:
https://doaj.org/article/8068020402814f3eab73f79fad161147
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 6, Pp 1605-1629 (2024)
Abstract One of the main constituents of any reservoir characterization is an accurate forecast of water saturation, which is highly dependent upon the cementation exponent. Even though there have been a lot of studies, the most common correlations d
Externí odkaz:
https://doaj.org/article/4e5316d64381482ab7415ffe7dcada36
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 13224-13244 (2024)
Metal magnetic memory (MMM) is an innovative, nondestructive testing method. It can detect both stress concentrations and macroscopic defects. The three-dimensional force-magnetic coupling model was established by the ANSYS simulation software, the e
Externí odkaz:
https://doaj.org/article/91f7c01221f042deb963351842ff7752
Publikováno v:
Hangkong bingqi, Vol 31, Iss 1, Pp 133-140 (2024)
Friction torque disturbance affects the tracking performance of electromechanical actuator servo system, bringing position and speed tracking errors, and even may leading to instability of the servo system. Aiming at the problem of poor tracking perf
Externí odkaz:
https://doaj.org/article/861bdf852c3f460c87eea627f5913bbe
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractFast and accurate wheeling pricing has emerged as an important issue in the recent competitive power market. Embedded cost-based wheeling pricing is well accepted by power market, because it is based on actual flow of power wheeled by them. I
Externí odkaz:
https://doaj.org/article/bbe0329d7aac42f89e9b407cfe1bae6b