Neural coordination through spider monkey optimization-guided weight synchronization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14443-9.pdf
Reference34 articles.
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3. Dolecki M, Kozera R (2015) The Impact of the TPM Weights Distribution on Network Synchronization Time. In: Saeed K., Homenda W. (eds) Computer information systems and industrial management. CISIM 2015. Lecture notes in computer science(). https://doi.org/10.1007/978-3-319-24369-6_37, vol 9339. Springer, Cham
4. Dong T, Huang T (2020) Neural Cryptography Based on Complex-Valued Neural Network. IEEE Trans Neural Netw Learn Syst 31(11):4999–5004. https://doi.org/10.1109/TNNLS.2019.2955165
5. ÉDgar Salguero Dorokhin, Fuertes W, Lascano E (2019) On the Development of an Optimal Structure of Tree Parity Machine for the Establishment of a Cryptographic Key. Secur Commun Netw 2019:1–10. https://doi.org/10.1155/2019/8214681
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1. Fine-Tuned T5 Transformer with LSTM and Spider Monkey Optimizer for Redundancy Reduction in Automatic Question Generation;SN Computer Science;2024-04-23
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