Search Results - "Qi-Jun Zhang"
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1
Multivalued Neural Network Inverse Modeling and Applications to Microwave Filters
Published in IEEE transactions on microwave theory and techniques (01-08-2018)“…This paper presents a new technique for artificial neural network (ANN) inverse modeling and applications to microwave filters. In inverse modeling of a…”
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2
Deep Neural Network Technique for High-Dimensional Microwave Modeling and Applications to Parameter Extraction of Microwave Filters
Published in IEEE transactions on microwave theory and techniques (01-10-2019)“…This article introduces the deep neural network method into the field of high-dimensional microwave modeling. Deep learning is nowadays highly successful in…”
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3
Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art
Published in IEEE transactions on microwave theory and techniques (01-11-2022)“…This article presents an overview of artificial neural network (ANN) techniques for a microwave computer-aided design (CAD). ANN-based techniques are becoming…”
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4
Polynomial Chaos-Based Approach to Yield-Driven EM Optimization
Published in IEEE transactions on microwave theory and techniques (01-07-2018)“…Yield-driven optimization is important in microwave design due to the uncertainties introduced in the manufacturing process. For the first time, we extend in…”
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5
Coarse- and Fine-Mesh Space Mapping for EM Optimization Incorporating Mesh Deformation
Published in IEEE microwave and wireless components letters (01-08-2019)“…Space mapping (SM) is a recognized method for speeding up electromagnetic (EM) optimization. The SM technique often requires an equivalent circuit as the…”
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6
Multifeature-Assisted Neuro-transfer Function Surrogate-Based EM Optimization Exploiting Trust-Region Algorithms for Microwave Filter Design
Published in IEEE transactions on microwave theory and techniques (01-02-2020)“…This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-based electromagnetic (EM) optimization technique exploiting…”
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7
Quantum Computing Method for Solving Electromagnetic Problems Based on the Finite Element Method
Published in IEEE transactions on microwave theory and techniques (01-02-2024)“…Applying quantum computation to solve electromagnetic (EM) problems is still at an early age. Recently, an initial study on applying quantum computation to…”
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8
Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Pole-Residue-Based Transfer Functions
Published in IEEE transactions on microwave theory and techniques (01-01-2016)“…This paper proposes an advanced technique to develop combined neural network and pole-residue-based transfer function models for parametric modeling of…”
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9
A Wiener-Type Dynamic Neural Network Approach to the Modeling of Nonlinear Microwave Devices
Published in IEEE transactions on microwave theory and techniques (01-06-2017)“…A new Wiener-type dynamic neural network (DNN) approach for nonlinear device modeling is proposed in this paper. The proposed analytical formulation of…”
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10
Parametric Modeling Incorporating Joint Polynomial-Transfer Function With Neural Networks for Microwave Filters
Published in IEEE transactions on microwave theory and techniques (01-11-2022)“…This article proposes a novel parametric modeling technique incorporating a joint polynomial-transfer function with neural networks (short for neuro-PTF) for…”
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11
Space Mapping Technique Using Decomposed Mappings for GaN HEMT Modeling
Published in IEEE transactions on microwave theory and techniques (01-08-2020)“…A novel space mapping (SM) modeling approach for gallium nitride (GaN) high-electron-mobility transistors (HEMTs) with trapping effects is presented in this…”
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12
Parallel Multiphysics Optimization for Microwave Devices Exploiting Neural Network Surrogate
Published in IEEE microwave and wireless components letters (01-04-2021)“…This letter proposes a new surrogate-based multiphysics optimization technique for microwave devices incorporating artificial neural networks (ANNs) and…”
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13
Efficient Yield Estimation of Microwave Structures Using Mesh Deformation-Incorporated Space Mapping Surrogates
Published in IEEE microwave and wireless components letters (01-10-2020)“…Accurateyield estimation is of particular importance in microwave component design due to the presence of manufacturing tolerances. Coarse- and fine-mesh space…”
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14
Efficient EM Topology Optimization Incorporating Advanced Matrix Padé Via Lanczos and Genetic Algorithm for Microwave Design
Published in IEEE transactions on microwave theory and techniques (01-08-2021)“…Electromagnetic (EM) topology optimization aims at finding the optimal shape and topology of the EM structure by adding or eliminating materials, such as metal…”
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15
Parallel Gradient-Based EM Optimization for Microwave Components Using Adjoint- Sensitivity-Based Neuro-Transfer Function Surrogate
Published in IEEE transactions on microwave theory and techniques (01-09-2020)“…This article proposes a novel parallel gradient-based electromagnetic (EM) optimization approach to microwave components using adjoint-sensitivity-based…”
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16
Adaptively Weighted Yield-Driven EM Optimization Incorporating Neurotransfer Function Surrogate With Applications to Microwave Filters
Published in IEEE transactions on microwave theory and techniques (01-01-2021)“…In this article, we propose an adaptively weighted yield-driven EM optimization technique incorporating neurotransfer function (neuro-TF) surrogate. In the…”
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17
Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components
Published in IEEE microwave and wireless components letters (01-05-2022)“…Neuro-transfer function (neuro-TF) methods are deemed as powerful tools in modeling the electromagnetic (EM) behavior of microwave passive components. Existing…”
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18
Rapid Yield Estimation of Microwave Passive Components Using Model-Order Reduction Based Neuro-Transfer Function Models
Published in IEEE microwave and wireless components letters (01-04-2021)“…In this letter, we propose a novel technique for rapid and accurate yield estimation of microwave passive components using model-order reduction (MOR)-based…”
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19
A New Training Approach for Parametric Modeling of Microwave Passive Components Using Combined Neural Networks and Transfer Functions
Published in IEEE transactions on microwave theory and techniques (01-11-2009)“…This paper presents a novel technique to develop combined neural network and transfer function models for parametric modeling of passive components. In this…”
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20
Advanced Parallel Space-Mapping-Based Multiphysics Optimization for High-Power Microwave Filters
Published in IEEE transactions on microwave theory and techniques (01-05-2021)“…Space mapping is a recognized surrogate-based optimization method to accelerate the electromagnetic (EM) design. In this article, for the first time, space…”
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