Journal ArticleDOI
An artificial neural network model for effective dielectric constant of microstrip line
TLDR
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.Abstract:
A backpropagation network structure is presented for the calculation of the effective dielectric constant (/spl epsiv//sub eff/) of microstrip lines. Results of the network are compared with those of the spectral-domain (SD) technique.read more
Citations
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Journal ArticleDOI
Deep learning for the design of photonic structures
TL;DR: Recent progress in deep-learning-based photonic design is reviewed by providing the historical background, algorithm fundamentals and key applications, with the emphasis on various model architectures for specific photonic tasks.
Journal ArticleDOI
A review of artificial neural networks applications in microwave computer‐aided design (invited article)
TL;DR: Some of their most significant applications and typical issues arising in practical implementation are illustrated and use of self-organizing maps enhancing model accuracy and applicability is introduced.
Journal ArticleDOI
Defected Ground Structure in the perspective of Microstrip Antennas: A Review
TL;DR: In this paper, the effect of DGS to the different antenna parameter enhancement is studied, where the authors show that the value of the inductance and capacitance depends on the area and size of the defect.
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
Neural network-based CAD model for the design of square-patch antennas
TL;DR: 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.
References
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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
Neural networks: algorithms, applications, and programming techniques
TL;DR: The authors survey the most common neural-network architectures and show how neural networks can be used to solve actual scientific and engineering problems and describe methodologies for simulating neural- network architectures on traditional digital computing systems.
Journal ArticleDOI
Microstrip lines for microwave integrated circuits
TL;DR: In this article, the authors report the impedance and attenuation measurements performed on microstrips, which are useful for the microwave and millimeter wave hybrid integrated circuits required for solid-state radio systems because of their simplicity and planar structure.
Book
Stripline-Like Transmission Lines for Microwave Integrated Circuits
Bharathi Bhat,Shiban K. Koul +1 more
TL;DR: In this paper, the authors present an analysis of Coupled lines and line-like transmission lines in Microwave Integrated Circuits (MIICs) and some special structures.
Journal ArticleDOI
CAD models for suspended and inverted microstrip
TL;DR: New CAD models are presented which demonstrate significantly improved accuracy and range of convergence for suspended and inverted microstrip and unlike the other models, converge for the limiting cases of either complete substrate filling or a zero thickness substrate.
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