An Ann-Based Small-Signal Equivalent Circuit Model for Mosfet Device

Li, Nan; Li, Xiuping; Quan, Shanguo

doi:10.2528/pier11092103

Cited by 10 publications

(3 citation statements)

References 27 publications

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“…To describe the function of the port-character circuit, the ANN fits into the nonlinear parts of the passive-circuit and active-circuit to create the experimental data and generates the ANN function. N.Li et al proposed a small-signal equivalent circuit model for the MOSFET device to design an ANN [6]. The suggested approach combines an ANN network with a small-signal equivalent circuit model to produce a precise output.…”

Section: Literature Reviewmentioning

confidence: 99%

Integration of Artificial Neural Network Model for Smart Medical System Using Double Gate Mosfet

Leavline,

Krishnasamy

2024

Preprint

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A human behaviour imitation in the computing industry can be obtained using Neural Network architectures. One of the popular and influential neural network architecture is multilayer back propagation network (MLBPN). This paper aims to design and implement the MLBPN model for analyzing medical images. Many earlier research works have focused on implementing machine and deep learning models for analyzing medical data. But the computational speed is less and requires more epochs to obtain accurate results. Some researchers have overcome the challenges by using different integrated circuit techniques which are not cost-effective. This paper implements the multi layer perceptron (MLP) architecture using a double gate metal oxide semiconductor field effect transistor (DGMOSFET) model. The physical and logical functionalities of the MOSFET are integrated with MLP to provide the similar electrical behaviour of the transistor to control the current and voltage. The proposed MLP with DG-MOSFET model is trained with datasets having mixed of disease cases which were taken from FDA-NCI Clinical Proteomics Program Databank and the testing process is evaluated. The simulation is carried out with MATLAB and Cadence software, and then the analysed values are compared with actual values. The output proves that the speed and accuracy are improved compared with single gate devices.

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Section: Literature Reviewmentioning

confidence: 99%

Integration of Artificial Neural Network Model for Smart Medical System Using Double Gate Mosfet

Leavline,

Krishnasamy

2024

Preprint

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“…The radiating patch acting as an inductor (L3) has a capacitive coupling (C2) to the metal ground plane [24]. The resistance (R1) in the radiating patch represents the sum of the radiation reactance, dielectric loss and surface wave loss [25]. A coaxial probe acting as an inductor (L1) is used to excite the antenna and generate a single resonant mode as shown in Fig.…”

Section: Equivalent Circuitmentioning

confidence: 99%

A Wideband Dual-Polarized Patch Antenna With Electric Probe and Magnetic Loop Feeds

Xie¹,

Yin²,

Ren³

et al. 2012

PIER

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A new wideband dual-polarized patch antenna consisting of a magnetically-fed and an electrically-fed is presented in the paper. The two feeds are orthogonal to each other at the center of the ground plane and generate 0 • and 90 • polarization separately. Two pairs of L-shaped slots are etched in the radiating patch to improve the impedance bandwidth. By using a shorting pin connecting the radiating patch to the ground plane, the coupling between the two feeding ports can be reduced. With the help of circuit simulation and full wave simulation, the equivalent circuit model of the antenna is established. The simulated and measured results show that the impedance bandwidths for VSWR less than 2 of the proposed dualpolarized antenna with a profile of are 27.3% (3.29-4.33 GHz) and 19% (3.05-3.69 GHz) for 0 • polarization and 90 • polarization, respectively, with a height of 0.08λ 0 between radiating patch and ground plane. The measured coupling between the two ports is below −20 dB over the operating band. Moreover, the maximum gain of the proposed antenna is about 8.5 dBi and 6.9 dBi for port 1 and port 2, respectively, over the operating band. Measured results of the fabricated antenna prototypes are in good agreement with the simulated results.

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“…ANNs are information processing systems that have been widely applied in the RF/microwave modeling tasks as an unconventional alternative. Through a process called training, ANNs have the ability of fitting any nonlinear behavior of passive and active component/circuit from experimental data and generating an ANN model function thatcan be used to describe the port-characters of that component/circuit[ 172,173] . The multi player perceptron (MLP) is a popularly applied neural network structure.…”

mentioning

confidence: 99%

Air-gapped microaxial transmission line technology for Si-based microwave integrated circuits

Tian¹

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An Ann-Based Small-Signal Equivalent Circuit Model for Mosfet Device

Cited by 10 publications

References 27 publications

Integration of Artificial Neural Network Model for Smart Medical System Using Double Gate Mosfet

Integration of Artificial Neural Network Model for Smart Medical System Using Double Gate Mosfet

A Wideband Dual-Polarized Patch Antenna With Electric Probe and Magnetic Loop Feeds

Air-gapped microaxial transmission line technology for Si-based microwave integrated circuits

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