Journal ArticleDOI
Neural network-based CAD model for the design of square-patch antennas
TLDR
An artificial neural network (ANN) has been developed and tested for square-patch antenna design that transforms the data containing the dielectric constant, thickness of the substrate, and antenna's dominant-mode resonant frequency to the patch length.Abstract:
An artificial neural network (ANN) has been developed and tested for square-patch antenna design. It transforms the data containing the dielectric constant (/spl epsiv//sub r/), thickness of the substrate (h), and antenna's dominant-mode resonant frequency (f/sub r/) to the patch length (l).read more
Citations
More filters
Journal ArticleDOI
EM-based optimization of microwave circuits using artificial neural networks: the state-of-the-art
Abstract: This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and optimization of microwave circuits using artificial neural networks (ANNs). Measurement-based design of microwave circuits using ANNs is also reviewed. The conventional microwave neural optimization approach is surveyed, along with typical enhancing techniques, such as segmentation, decomposition, hierarchy, design of experiments, and clusterization. Innovative strategies for ANN-based design exploiting microwave knowledge are reviewed, including neural space-mapping methods. The problem of developing synthesis neural networks is treated. EM-based statistical analysis and yield optimization using neural networks is reviewed. The key issues in transient EM-based design using neural networks are summarized. The use of ANNs to speed up "global modeling" for EM-based design of monolithic microwave integrated circuits is briefly described. Future directions in ANN techniques to microwave design are suggested.
Journal ArticleDOI
Neural Networks for Microwave Modeling: Model Development Issues and Nonlinear Modeling Techniques
TL;DR: A systematic description of key issues in neural modeling approach such as data generation, range and distribution of samples in model input parameter space, data scaling, etc., is presented.
Journal ArticleDOI
ANN techniques in microwave engineering
TL;DR: The development of neural network techniques is reviewed, some basic concepts involved in it are introduced, and a comprehensive survey of Neural network application to different branches of microwave engineering is given.
Journal Article
Artificial neural design of microstrip antennas
TL;DR: A general design procedure is suggested for microstrip antennas using artificial neural networks and this is demonstrated using rectangular patch geometry.
Journal ArticleDOI
Applications of neural networks in wireless communications
TL;DR: Different applications of neural-network techniques for wireless communication front ends are briefly reviewed, stressing the purpose and the way neural networks have been implemented, followed by a description of future avenues of research in this field.
References
More filters
Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Rectangular and Circular Microstrip Disk Capacitors and Resonators
Ingo Wolff,N. Knoppik +1 more
TL;DR: In this paper, a simple method is described to calculate the capacitances of rectangular and circular microstrip disk capacitors, and the influence of the fringing field on the resonance frequencies of microstrip disks resonators is calculated.
Book ChapterDOI
Fast learning algorithms for neural networks
TL;DR: A generalized criterion for the training of feedforward neural networks is proposed, which leads to a variety of fast learning algorithms for single-layered as well as multilayered neural networks.
Journal ArticleDOI
An artificial neural network model for effective dielectric constant of microstrip line
TL;DR: A backpropagation network structure is presented for the calculation of the effective dielectric constant of microstrip lines and results are compared with those of the spectral-domain technique.
Journal ArticleDOI
Analysis of microstrip antennas using neural networks
Lucio Vegni,A. Toscano +1 more
TL;DR: This paper presents the application of non-linear neural optimization networks to the analysis of arbitrarily shaped microstrip patch antennas with a very general bianisotropic grounded slab to solve the integral equation which describes the planar integrated structure.