Analog Circuits Based Fault Diagnosis using ANN and SVM
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.19Keywords:
Artificial Neural Networks, Kernel Principal Component Analysis, Support Vector Machine.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In this study, we provide a technique for identifying analog errors using a neural network and an SVM (SVM). The study's major objective is to produce a trustworthy diagnostic based on a technique that reduces testing durations by resolving the problem of component tolerances.The suggested strategy uses an artificial neural network and a backward propagation mechanism. The impact of methods like Principal Component Analysis on feature extraction is discussed in this work. The simulation results show that the technique is effective and efficient for fault identification in tolerant mixed-signal circuits.Abstract
How to Cite
Downloads
Similar Articles
- Brigith Gladys L, J. Merline Vinotha, Sustainable rough multi-objective two-stage solid transportation problem of third-party e-commerce logistic providers with conditional fixed parameter on safety , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Neha Saini, Rashmi Verma, Rabia Basri Aziz, Ashmita Bhatt, Hem Chandra Pant, Naveen Gaurav, Effect of Growth Regulators on Direct Clonal Propagation and Analysis of Total Phenolic Content of Wild and Propagated Mucuna pruriens , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Aakanksha Laiker, Promil Pande, Contribution of policy and regulations to enhance Transparency and Traceability in the Garment Industry , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Dave Bansariben Chhellashankar, Anil Kashyap, Tracing the origins and evolution of yoga darshana: A critical historical analysis , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Rakesh Thakur, Surender Singh, The Pangwala People of Pangi Region: Ethnography of Rituals and Ceremonies , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Pratibha Baluni, Priya Kathait, Pankaj Bahuguna, C. B. Kotnala, Rajesh Rayal, Analysis of Riparian Vegetation Diversity at Khanda Gad Stream, Garhwal Himalaya, Uttarakhand, India , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Manu Narendra Dev Purohit, Deepika Yadav, Naresh Vyas, Impact of Environmental Factors on Fresh Water Snails and Cercarial Infection in Padamsar Pond at Jodhpur (Rajasthan) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Vibhu Tripathi, India’s transformative journey: A decade and a half of growth, innovation, and inclusive progress , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Venkatesh R, A study on women empowerment by enhancing saving capabilities – through self-help groups , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 43 44 45 46 47 48 49 50 51 52 > >>
You may also start an advanced similarity search for this article.
