optIFnet: A Capacitive Antenna Dipole Indention-Flexure Predictive Model Optimized Using Hybrid Lichtenberg Algorithm and Neural Network
-
Published:2023-01-20
Issue:1
Volume:27
Page:27-34
-
ISSN:1883-8014
-
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
-
language:en
-
Short-container-title:JACIII
Author:
Enriquez Mike Louie C.1ORCID, Concepcion II Ronnie S.1ORCID, Relano R-Jay S.1ORCID, Francisco Kate G.1ORCID, Baun Jonah Jahara G.2ORCID, Janairo Adrian Genevie G.2ORCID, Baldovino Renann G.1ORCID, Vicerra Ryan Rhay P.1ORCID, Bandala Argel A.2ORCID, Dadios Elmer P.1ORCID
Affiliation:
1. Department of Manufacturing Engineering and Management, De La Salle University (DLSU), 2401 Taft Avenue, Malate, Manila 1004, Philippines 2. Department of Electronics and Computer Engineering, De La Salle University (DLSU), 2401 Taft Avenue, Malate, Manila 1004, Philippines
Abstract
In performing underground imaging surveying, applying a coating in the antenna dipole plates with robust and durable material to stay protected against rough road features is vital to consider. By doing this, the mechanical properties of the metallic antenna dipole can be improved and be shielded from deterioration. With that, this study has developed an indentation-flexure algorithm optimized using a hybrid Lichtenberg algorithm (LA) and artificial neural network (ANN) that can predict the indentation-flexure as a function of the coating material’s elastic modulus, Poisson ratio, and thickness as well as the load antenna weight. Acrylic, epoxy, nylon 101, high-density polyethylene, and polyvinyl chloride were chosen as the top five most popular coating materials. A 120° titanium cone indenter with a 0.5-inch-diameter, slightly rounded point, and a constant compressive force of 200 N in the center was employed to plot and use a nonlinear mechanical finite element analysis on an antenna dipole plate using SolidWorks. Nature-inspired and evolutionary metaheuristics such as African vultures, Lichtenberg, and gorilla troop optimization algorithm including genetic algorithm (GA) were employed as optimized models for the hardness indentation for capacitively coupled antenna dipoles. Based on the results, the hybrid LA-ANN solution with a hidden neurons of 3000 and a sigmoid activation function is the best performing model as it acquired a MSE score of 0.0061 in validation and 0.1478 in testing compare to the other model with 0.1610 for GA with 100 hidden neurons with sigmoid activation function. Thus, LA-ANN model is considered as the optIFnet as it exhibited the best prediction performance and fastest convergence among all optimizers used.
Funder
Philippine Council for Industry, Energy, and Emerging Technology Research and Development De La Salle University DOST-ERDT
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
Reference24 articles.
1. M. L. Enriquez et al., “Prediction of Weld Current Using Deep Transfer Image Networks Based on Weld Signatures for Quality Control,” 2021 IEEE 13th Int. Conf. on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2021. https://doi.org/10.1109/HNICEM54116.2021.9731979 2. A. Fardan, C. C. Berndt, and R. Ahmed, “Numerical modelling of particle impact and residual stresses in cold sprayed coatings: A review,” Surf. Coatings Technol., Vol.409, Article No.126835, 2021. 3. Z.-X. Li and S.-W. Rao, “The Inversion of One-Dimensional Soil Parameters in the Frequency Domain with Considering Multilayered Earth Based on Simulated Annealing Algorithm,” IEEE Trans. Electromagn. Compat., Vol.62, No.2, pp. 425-432, 2020. 4. L. Meng et al., “Identification of material properties using indentation test and shape manifold learning approach,” Comput. Methods Appl. Mech. Eng., Vol.297, pp. 239-257, 2015. 5. K. Jeong et al., “Prediction of uniaxial tensile flow using finite element-based indentation and optimized artificial neural networks,” Mater. Des., Vol.196, Article No.109104, 2020.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Broadband Monopole Antenna of Trapezoid Patch by Coplanar Waveguide;2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT);2023-10-11
|
|