This thesis introduces the results of a detailed investigation and analysis into the key aspects of the Vector Finite Element Method, the critical relationships between the VFEM zone discretization and the associated solution matrix equations, the discovery of the original fill-in laws and the fill-in prediction methods, and their impact on the computational aspects and processes. Furthermore, the work included the design and implementation of accelerated matrix solution models, and their successful implementation and application to various electromagnetic problems and the presentation of the excellent performance results obtained. Also, one of the problem examples used in the investigation contributed to the validation of a method to reduc...
The study of Micro strip patch antenna is proposed by using artificial neural network. The geometry ...
The microstrip transmission line numerical model is used to search out the relative permittivity and...
This article presents a new method based on adaptive neuro-fuzzy inference system (ANFIS) to calcula...
This thesis introduces techniques of analysis of electromagnetic wave propagation problems that can ...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
Microstrip structures, formed by metal traces printed on a dielectric substrate above a reference pl...
Disertační práce se věnuje využití umělých neuronových sítí pro modelování elektromagnetických polí ...
The problems of electromagnetism are modeled by means of various numerical methods. Among them Finit...
This paper presents the application of non-linear neural optimization networks to the analysis of ar...
Computational Electromagnetics is a young and growing discipline, expanding as a result of the stead...
Nowadays, electromagnetic problems are present everywhere in the daily life. Wherever electrical mac...
Covering the development of field computation in the past forty years, Field Models in Electricity a...
Tato diplomová práce se zabývá umělými neuronovými sítěmi. Po navržení a odladění vzorové testovací ...
The principal computational electromagnetics techniques for solving antenna problems are reviewed. A...
In this paper, the performance of four machine learning regressions like Support Vector Machine (SVM...
The study of Micro strip patch antenna is proposed by using artificial neural network. The geometry ...
The microstrip transmission line numerical model is used to search out the relative permittivity and...
This article presents a new method based on adaptive neuro-fuzzy inference system (ANFIS) to calcula...
This thesis introduces techniques of analysis of electromagnetic wave propagation problems that can ...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
Microstrip structures, formed by metal traces printed on a dielectric substrate above a reference pl...
Disertační práce se věnuje využití umělých neuronových sítí pro modelování elektromagnetických polí ...
The problems of electromagnetism are modeled by means of various numerical methods. Among them Finit...
This paper presents the application of non-linear neural optimization networks to the analysis of ar...
Computational Electromagnetics is a young and growing discipline, expanding as a result of the stead...
Nowadays, electromagnetic problems are present everywhere in the daily life. Wherever electrical mac...
Covering the development of field computation in the past forty years, Field Models in Electricity a...
Tato diplomová práce se zabývá umělými neuronovými sítěmi. Po navržení a odladění vzorové testovací ...
The principal computational electromagnetics techniques for solving antenna problems are reviewed. A...
In this paper, the performance of four machine learning regressions like Support Vector Machine (SVM...
The study of Micro strip patch antenna is proposed by using artificial neural network. The geometry ...
The microstrip transmission line numerical model is used to search out the relative permittivity and...
This article presents a new method based on adaptive neuro-fuzzy inference system (ANFIS) to calcula...