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Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization

A. Naresh Kumar1,*, G. Geetha2

1 Department of CSE, Anna University, Chennai, 600025, Tamilnadu, India
2 Department of CSE, Agni College of Technology, Chennai, 600130, Tamilnadu, India

* Corresponding Author: A. Naresh Kumar. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 2619-2637. https://doi.org/10.32604/iasc.2023.028349

Abstract

Recognizing signs and fonts of prehistoric language is a fairly difficult job that requires special tools. This stipulation make the dispensation period overriding, difficult and tiresome to calculate. This paper present a technique for recognizing ancient south Indian languages by applying Artificial Neural Network (ANN) associated with Opposition based Grey Wolf Optimization Algorithm (OGWA). It identifies the prehistoric language, signs and fonts. It is an apparent from the ANN system that arbitrarily produced weights or neurons linking various layers play a significant role in its performance. For adaptively determining these weights, this paper applies various optimization algorithms such as Opposition based Grey Wolf Optimization, Particle Swarm Optimization and Grey Wolf Optimization to the ANN system. Performance results are illustrated that the proposed ANN-OGWO technique achieves superior accuracy over the other techniques. In test case 1, the accuracy value of OGWO is 94.89% and in test case 2, the accuracy value of OGWO is 92.34%, on average, the accuracy of OGWO achieves 5.8% greater accuracy than ANN-GWO, 10.1% greater accuracy than ANN-PSO and 22.1% greater accuracy over conventional ANN technique.

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Cite This Article

APA Style
Kumar, A.N., Geetha, G. (2023). Recognizing ancient south indian language using opposition based grey wolf optimization. Intelligent Automation & Soft Computing, 35(3), 2619-2637. https://doi.org/10.32604/iasc.2023.028349
Vancouver Style
Kumar AN, Geetha G. Recognizing ancient south indian language using opposition based grey wolf optimization. Intell Automat Soft Comput . 2023;35(3):2619-2637 https://doi.org/10.32604/iasc.2023.028349
IEEE Style
A.N. Kumar and G. Geetha, "Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization," Intell. Automat. Soft Comput. , vol. 35, no. 3, pp. 2619-2637. 2023. https://doi.org/10.32604/iasc.2023.028349



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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