Temperature Dependent I-V Models for Microwave Transistor Using Radial Basis NNs, Generalized Regression NNs and Feedforward NN

Saddam Husain, Kashif Khan, Anwar Jarndal, Galymzhan Nauryzbayev, Mohammad Hashmi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper carefully examines, evaluates and compare Radial Basis Neural Networks (RBNNs), Generalized Regression Neural Networks (GRNNs) and Feedforward Neural Network (FFNN) to devise an efficient, an expeditious and an accurate IV modelling scheme for Gallium Nitride (GaN) High Electron Mobility Transistor (HEMT). The modelling schemes are employed on pulsed IV measurements of GaN HEMT device. Firstly, two variants of RBNNs namely, Exact Design (ED) and More Efficient Design (MED) networks are erected to simulate the temperature and bias dependence on the drain current. Thereafter, GRNNs and FFNN based models are developed. The hyperparameters associated with all the investigated models are tuned to improve the generalization capabilities of the models. Post tuning, the models are exploited to compute the mean squared error, mean absolute error and coefficient of determination to assess the models' performance. Lastly, the models are compared on the grounds of training and simulation time, parameters tuning time, generalization capability, computational efficiency and models' simplicity.

Original languageEnglish
Title of host publication2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665476478
DOIs
Publication statusPublished - 2022
Event5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022 - Aligarh, India
Duration: Nov 26 2022Nov 27 2022

Publication series

Name2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022

Conference

Conference5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022
Country/TerritoryIndia
CityAligarh
Period11/26/2211/27/22

Keywords

  • ANN
  • GaN HEMTs and IV Modelling
  • Generalized Regression Neural Networks
  • Radial Basis Neural Networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Media Technology
  • Instrumentation

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