article · 2023
Modern Soft Computing Techniques and Their Various Applications
Kamal Saluja, Sunil Gupta, Jatin Arora, Naveen Kumar, Yogesh Arora
Cited by 1Abstract and details only
Abstract
In contrast to traditional computing, soft computing can be used to adjust prediction models and locate answers to difficult, real-world issues. Soft computing is more forgiving of ambiguity than classical computing. For soft computing, the gold standard is the human brain. Soft computing includes innovations like machine learning, artificial neural networks, genetic algorithms, fuzzy logic, and expert systems. First proposed in the 1980s, soft computing is now a central focus of academic inquiry across disciplines. Soft computing is widely used in commercial, industrial, and household settings due to its low cost and high performance. Soft computing is finding more and more uses today. This article compares and contrasts the benefits of traditional computing with those of contemporary soft computing.
Cite this paper
Saluja, K., Gupta, S., Arora, J., Kumar, N., & Arora, Y. (2023). Modern Soft Computing Techniques and Their Various Applications. https://doi.org/10.1109/i2ct57861.2023.10126340
Saluja, Kamal, et al. “Modern Soft Computing Techniques and Their Various Applications.” vol. 13, 2023, pp. 1–4, https://doi.org/10.1109/i2ct57861.2023.10126340.
Saluja, Kamal, Sunil Gupta, Jatin Arora, Naveen Kumar, and Yogesh Arora. 2023. “Modern Soft Computing Techniques and Their Various Applications.” https://doi.org/10.1109/i2ct57861.2023.10126340.
Saluja, K. et al. (2023) ‘Modern Soft Computing Techniques and Their Various Applications’. Available at: https://doi.org/10.1109/i2ct57861.2023.10126340.
@article{saluja2023modern,
title = {{Modern Soft Computing Techniques and Their Various Applications}},
author = {Saluja, Kamal and Gupta, Sunil and Arora, Jatin and Kumar, Naveen and Arora, Yogesh},
volume = {13},
pages = {1--4},
year = {2023},
doi = {10.1109/i2ct57861.2023.10126340}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.