Search Results - "Qi-Jun Zhang"

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  1. 1

    Multivalued Neural Network Inverse Modeling and Applications to Microwave Filters by Zhang, Chao, Jin, Jing, Na, Weicong, Zhang, Qi-Jun, Yu, Ming

    “…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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    Journal Article
  2. 2

    Deep Neural Network Technique for High-Dimensional Microwave Modeling and Applications to Parameter Extraction of Microwave Filters by Jin, Jing, Zhang, Chao, Feng, Feng, Na, Weicong, Ma, Jianguo, Zhang, Qi-Jun

    “…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. 3

    Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art by Feng, Feng, Na, Weicong, Jin, Jing, Zhang, Jianan, Zhang, Wei, Zhang, Qi-Jun

    “…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. 4

    Polynomial Chaos-Based Approach to Yield-Driven EM Optimization by Zhang, Jianan, Zhang, Chao, Feng, Feng, Zhang, Wei, Ma, Jianguo, Zhang, Qi-Jun

    “…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. 5

    Coarse- and Fine-Mesh Space Mapping for EM Optimization Incorporating Mesh Deformation by Feng, Feng, Zhang, Jianan, Zhang, Wei, Zhao, Zhihao, Jin, Jing, Zhang, Qi-Jun

    “…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. 6

    Multifeature-Assisted Neuro-transfer Function Surrogate-Based EM Optimization Exploiting Trust-Region Algorithms for Microwave Filter Design by Feng, Feng, Na, Weicong, Liu, Wenyuan, Yan, Shuxia, Zhu, Lin, Ma, Jianguo, Zhang, Qi-Jun

    “…This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-based electromagnetic (EM) optimization technique exploiting…”
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    Journal Article
  7. 7

    Quantum Computing Method for Solving Electromagnetic Problems Based on the Finite Element Method by Zhang, Jianan, Feng, Feng, Zhang, Qi-Jun

    “…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. 8

    Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Pole-Residue-Based Transfer Functions by Feng, Feng, Zhang, Chao, Ma, Jianguo, Zhang, Qi-Jun

    “…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. 9

    A Wiener-Type Dynamic Neural Network Approach to the Modeling of Nonlinear Microwave Devices by Liu, Wenyuan, Zhu, Lin, Ma, Jianguo, Zhang, Qi-Jun

    “…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. 10

    Parametric Modeling Incorporating Joint Polynomial-Transfer Function With Neural Networks for Microwave Filters by Zhuo, Yan, Feng, Feng, Zhang, Jianan, Zhang, Qi-Jun

    “…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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    Journal Article
  11. 11

    Space Mapping Technique Using Decomposed Mappings for GaN HEMT Modeling by Zhao, Zhihao, Zhang, Lei, Feng, Feng, Zhang, Wei, Zhang, Qi-Jun

    “…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. 12

    Parallel Multiphysics Optimization for Microwave Devices Exploiting Neural Network Surrogate by Zhang, Wei, Feng, Feng, Jin, Jing, Zhang, Qi-Jun

    “…This letter proposes a new surrogate-based multiphysics optimization technique for microwave devices incorporating artificial neural networks (ANNs) and…”
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  13. 13

    Efficient Yield Estimation of Microwave Structures Using Mesh Deformation-Incorporated Space Mapping Surrogates by Zhang, Jianan, Feng, Feng, Jin, Jing, Zhang, Qi-Jun

    “…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. 14

    Efficient EM Topology Optimization Incorporating Advanced Matrix Padé Via Lanczos and Genetic Algorithm for Microwave Design by Jin, Jing, Feng, Feng, Zhang, Jianan, Ma, Jianguo, Zhang, Qi-Jun

    “…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. 15

    Parallel Gradient-Based EM Optimization for Microwave Components Using Adjoint- Sensitivity-Based Neuro-Transfer Function Surrogate by Feng, Feng, Na, Weicong, Liu, Wenyuan, Yan, Shuxia, Zhu, Lin, Zhang, Qi-Jun

    “…This article proposes a novel parallel gradient-based electromagnetic (EM) optimization approach to microwave components using adjoint-sensitivity-based…”
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  16. 16

    Adaptively Weighted Yield-Driven EM Optimization Incorporating Neurotransfer Function Surrogate With Applications to Microwave Filters by Zhang, Jianan, Feng, Feng, Jin, Jing, Zhang, Wei, Zhao, Zhihao, Zhang, Qi-Jun

    “…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. 17

    Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components by Zhang, Jianan, Chen, Jing, Guo, Qianyi, Liu, Wei, Feng, Feng, Zhang, Qi-Jun

    “…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. 18

    Rapid Yield Estimation of Microwave Passive Components Using Model-Order Reduction Based Neuro-Transfer Function Models by Zhang, Jianan, Feng, Feng, Zhang, Qi-Jun

    “…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. 19

    A New Training Approach for Parametric Modeling of Microwave Passive Components Using Combined Neural Networks and Transfer Functions by Yazi Cao, Yazi Cao, Gaofeng Wang, Gaofeng Wang, Qi-Jun Zhang, Qi-Jun Zhang

    “…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. 20

    Advanced Parallel Space-Mapping-Based Multiphysics Optimization for High-Power Microwave Filters by Zhang, Wei, Feng, Feng, Liu, Wenyuan, Yan, Shuxia, Zhang, Jianan, Jin, Jing, Zhang, Qi-Jun

    “…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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