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A microwave sensor resonance structure joint simulation optimization method and system

A microwave sensor and resonant structure technology, applied in the field of microwave sensors, can solve the problems of cumbersome time-consuming and heavy tasks, and achieve the effect of promoting the industrialization process and simplifying the manual design process

Pending Publication Date: 2021-11-09
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Therefore, it is necessary to provide a co-simulation optimization method and system for the resonant structure of microwave sensors. For this nonlinear high-dimensional optimization problem, the system can fully learn the useful characteristics of high-dimensional data by using historical samples, and then obtain an optimization strategy for the initial resonant structure. To solve the problem of heavy, cumbersome and time-consuming optimization of the microwave sensor resonance structure in the prior art, on the other hand, it also plays a very positive role in promoting the industrialization of microwave sensors

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  • A microwave sensor resonance structure joint simulation optimization method and system
  • A microwave sensor resonance structure joint simulation optimization method and system
  • A microwave sensor resonance structure joint simulation optimization method and system

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Embodiment 1

[0072] This embodiment provides a co-simulation optimization method for a microwave sensor resonant structure, such as figure 1 shown, including:

[0073] S1. The optimized area of ​​the original resonant structure of the pixelated microwave microfluidic sensor is a square pixel unit;

[0074] S2. Initialize the state set of the resonant structure, and initialize the action set for adjusting the resonant structure;

[0075] S3. Initialize the parameters of the current neural network and the parameters of the target neural network; wherein, the current neural network includes a current strategy network and a current evaluation network, and the target neural network includes a target strategy network and a target evaluation network;

[0076] S4. The current policy network outputs an action set according to the current state set, and adds random noise to the output action set; the current state set adjusts the resonance structure according to the action set to generate a microwa...

Embodiment 2

[0144] This embodiment provides a microwave sensor resonant structure co-simulation optimization system, including:

[0145]The pixelated module is used to optimize the area of ​​the original resonant structure of the pixelated microwave and microfluidic sensor as a square pixel unit;

[0146] The first initialization module is used for initializing the state set of the resonant structure, and initializing the action set for adjusting the resonant structure;

[0147] The second initialization module is used to initialize the parameters of the current neural network and the parameters of the target neural network; wherein, the current neural network includes a current strategy network and a current evaluation network, and the target neural network includes a target strategy network and a target evaluation network;

[0148] The output module is used for the current policy network to output the action set according to the current state set, and add random noise to the output acti...

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Abstract

The invention discloses a microwave sensor resonance structure joint simulation optimization method and system. The method comprises the following steps: S1, a pixelated optimization area being a square pixel unit; s2, initializing a state set and an action set; s3, initializing parameters; s4, enabling the current strategy network to output the action set and the current state set to generate a microwave sensor model script; s5, reading the script, constructing a microwave sensor model and performing simulation; s6, according to the simulation data, calculating an award value obtained after execution based on the current state set; s7, storing the data into an experience pool; s8, enabling the current evaluation network to calculate the mathematical expectation, and enabling the target evaluation network to calculate the mathematical expectation; s9, calculating the difference between the mathematical expectations and updating the parameters of the current network; s10, updating parameters of the target network; and S11, converging the parameters of the current neural network and the target neural network to obtain an intelligent set model and output an optimization strategy of the resonant structure, and adjusting the original resonant structure based on the output optimization strategy to obtain an optimized resonant structure.

Description

technical field [0001] The invention relates to the technical field of microwave sensors, in particular to a co-simulation optimization method and system for a resonant structure of a microwave sensor. Background technique [0002] Microwave sensors are attractive and rapidly developing in various industrial sensing applications, such as material identification, displacement detection, and biomedical sensing, because they can provide high measurement accuracy, fast detection speed, low cost, and non-invasive . Especially resonant microwave microfluidic sensors have extremely high sensitivity, as well as the interaction between the liquid sample and the electric field in the microchannel. [0003] In recent years, complementary split-ring resonators excited by microstrip lines have been widely used in sensor applications due to their excellent performance. The shape of the resonator is numerous, such as square, circular, etc., and these complementary split-ring resonant str...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/373G06F30/367G06F30/27G06N3/04G06F111/06G06F113/08
CPCG06F30/373G06F30/367G06F30/27G06F2111/06G06F2113/08G06N3/045
Inventor 林福康王彬潇王大伟赵文生
Owner HANGZHOU DIANZI UNIV
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