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Artificial Neural Network for Dimensionality Reduction and Its Application to Microwave Filters Inverse Modeling

IEEE transactions on microwave theory and techniques, 2022
The purpose of filters’ inverse modeling is to acquire the values of physical or geometrical parameters for the specified electrical response. In this article, a dimensionality reduction (DR) strategy is proposed through the artificial neural network ...
Yang Wu, Guangyuan Pan, Di Lu, Ming Yu
semanticscholar   +1 more source

Deep‐Learning‐Based Adjoint State Method: Methodology and Preliminary Application to Inverse Modeling

Water Resources Research, 2021
We present an efficient adjoint model based on the deep‐learning surrogate to address high‐dimensional inverse modeling with an application to subsurface transport.
Cong Xiao, Yandong Deng, Guangdong Wang
semanticscholar   +1 more source

An Overview of Neural Network Techniques for Microwave Inverse Modeling

International Symposium on Radio-Frequency Integration Technology, 2021
Inverse modeling is important for microwave design, diagnosis, and tuning. Neural network modeling techniques have been presented for microwave inverse modeling in the existing literature.
Jing Jin, F. Feng, Qi-jun Zhang
semanticscholar   +1 more source

Inverse Gaussian Autoregressive Models

Journal of Time Series Analysis, 1999
A first‐order autoregressive process with one‐dimensional inverse Gaussian marginals is introduced. The innovation distributions are obtained in certain special cases. The unknown parameters are estimated using different methods and these estimators are shown to be consistent and asymptotically normal.
Abraham, B., Balakrishna, N.
openaire   +2 more sources

Inverse Modeling for Filters Using a Regularized Deep Neural Network Approach

IEEE Microwave and Wireless Components Letters, 2020
Extracting coupling matrix from given ${S}$ -parameters can be viewed as an inverse problem for microwave filters, which is of importance for filter design and tuning.
Guangyuan Pan   +4 more
semanticscholar   +1 more source

Recent advances in neural network‐based inverse modeling techniques for microwave applications

International journal of numerical modelling, 2020
Inverse modeling of microwave components plays an important role in microwave design and diagnosis or tuning. Since the analytical function or formula of the inverse input‐output relationship does not exist and is difficult to obtain, artificial neural ...
Jing Jin   +6 more
semanticscholar   +1 more source

Inverse modeling of saturated-unsaturated flow in site-scale fractured rocks using the continuum approach: A case study at Baihetan dam site, Southwest China

, 2020
Modeling saturated-unsaturated flow in fractured rock formations remains a challenging issue due to the difficulties in properly calibrating the unsaturated flow properties for fractured rocks.
Yi‐Feng Chen   +5 more
semanticscholar   +1 more source

Inverse Modeling

2015
This book provides a comprehensive introduction to the techniques, tools and methods for inverse problems and data assimilation, and is written at the interface between mathematics and applications for students, researchers and developers in mathematics, physics, engineering, acoustics, electromagnetics, meteorology, biology, environmental and other ...
Gen Nakamura, Roland Potthast
openaire   +1 more source

Inversion charge modeling

IEEE Transactions on Electron Devices, 2001
A simple, implicit, relation for the inversion charge density in the channel of metal oxide semiconductor (MOS) transistors is presented. The relation is continuous and covers the whole operating range, from subthreshold to strong inversion. The derivative of the local inversion charge density with respect to the channel voltage is a simple expression ...
H.K. Gummel, K. Singhal
openaire   +1 more source

Quantification of rust penetration profile in reinforced concrete deduced by inverse modeling

, 2020
Chloride-induced corrosion causes insidious deterioration in reinforced concrete structures. Conventional numerical models for corrosion expansion ignore the penetration of rust into concrete, leading to an overestimation of the rust expansion force in ...
Shuxian Hong   +6 more
semanticscholar   +1 more source

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