An improved butterfly optimization algorithm for training the feed-forward artificial neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07592-w.pdf
Reference42 articles.
1. Al Nuaimi ZNAM, Abdullah R (2017) Neural network training using hybrid particlemove artificial bee colony algorithm for pattern classification. J Inf Commun Technol 16(2):314–334
2. Aljarah I, Faris H, Mirjalili S (2018) Optimizing connection weights in neural networks using the whale optimization algorithm. Soft Comput 22(1):1–15
3. Arora S, Anand P (2018) Learning automata-based butterfly optimization algorithm for engineering design problems. Int J Comput Mater Sci Eng 7(04):1850021
4. Arora S, Singh S (2019) Butterfly optimization algorithm: a novel approach for global optimization. Soft Comput 23(3):715–734. https://doi.org/10.1007/s00500-018-3102-4
5. Blair RB, Launer AE (1997) Butterfly diversity and human land use: species assemblages along an urban grandient. Biol Cons 80(1):113–125. https://doi.org/10.1016/S0006-3207(96)00056-0
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