Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/25883
Title: A Hybridized Fuzzy-Neural Predictive Intelligent (HFNPI) Modelling Approach-based Underlap FinFET Model
Authors: Sharma S.M.
Dasgupta, Sudeb
Kartikeyan, Machavaram Venkata
Published in: IETE Journal of Research
Abstract: This paper presents the hybridized fuzzy-neural predictive intelligent (HFNPI) based approach for predicting FinFET model. The proposed model is an improved approach over artificial neural network (ANN) model and adaptive neuro fuzzy inference system (ANFIS) model that provides optimum model parameters. In this paper, the challenge of optimization of large number of parameters is reduced. It assesses the performance of resultant structure on the basis of selected RF figure-of-merit. Based on the application requirements, RF figure-of-merit such as f T and f max are used as appropriate performance parameters to analyse the device performance. The framework for the HFNPI model is underlapped FinFET structural/process parameters. The mean prediction error was found 2.8 × 10−4 GHz. The comparative analysis of HFNPI with ANN and ANFIS model is done. It is found that combination of fuzzy and neural logic shows better result rather than individual ANFIS and ANN model to redevelop the model and increase the number of inputs. © 2019, © 2019 IETE.
Citation: IETE Journal of Research, 65(6): 771-779
URI: https://doi.org/10.1080/03772063.2018.1464972
http://repository.iitr.ac.in/handle/123456789/25883
Issue Date: 2019
Publisher: Taylor and Francis Ltd
Keywords: Compact model
Device modelling
Emerging device
FinFET
Fuzzy system
High frequency
MOSFET
Multigate transistor
Neural network
TCAD
ISSN: 3772063
Author Scopus IDs: 55491666400
57191737302
6603631347
Author Affiliations: Sharma, S.M., Deptartment of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, India
Dasgupta, S., Deptartment of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, India
Kartikeyan, M.V., Deptartment of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, India
Appears in Collections:Journal Publications [ECE]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.