Results 171 to 180 of about 25,267,562 (240)
Some of the next articles are maybe not open access.
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
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
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
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, 2021Inverse 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, 1999A 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, 2020Extracting 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, 2020Inverse 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
, 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
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
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
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
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
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
, 2020Chloride-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

