Zobrazeno 1 - 10
of 3 573
pro vyhledávání: '"radial basis function neural network"'
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
Publikováno v:
Mathematics in Applied Sciences and Engineering, Vol 5, Iss 2 (2024)
Medical diagnosis using Artificial Neural Networks (ANN) and computer-aided diagnosis with deep learning is currently a very active research area in medical science. In recent years, for medical diagnosis, neural network models are broadly considered
Externí odkaz:
https://doaj.org/article/7b8c4d2f47ab4470b9ed823b9230bf21
Autor:
A. Peer Mohamed, K.R.M. Vijaya Chandrakala, S. Balamurugan, Umashankar Subramaniam, Dhafer Almakhles
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 54, Iss , Pp 101723- (2024)
High gain single switch DC-DC converter for Proton Exchange Membrane Fuel Cell (PEMFC) with Neural-Network (NN) algorithm based Maximum Power Point Tracking (MPPT) technique to drive Electric Vehicle (EV) is proposed in this paper. Apart from many ma
Externí odkaz:
https://doaj.org/article/1ad5578e98f0480d94f05fe1fba097ac