Training neural networks using Salp Swarm Algorithm for pattern classification-Reference-Cited by-同舟云学术

Training neural networks using Salp Swarm Algorithm for pattern classification

Published:2018-06-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Future Networks and Distributed Systems
language:
Short-container-title:

Author:

Abusnaina Ahmed A.¹,Ahmad Sobhi¹,Jarrar Radi¹,Mafarja Majdi¹

Affiliation:

1. Birzeit University, Birzeit

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3231053.3231070

Reference31 articles.

1. Ahmed A Abusnaina Rosni Abdullah and Ali Kattan. 2018. Self-Adaptive Mussels Wandering Optimization Algorithm with Application for Artificial Neural Network Training. Journal of Intelligent Systems (2018). Ahmed A Abusnaina Rosni Abdullah and Ali Kattan. 2018. Self-Adaptive Mussels Wandering Optimization Algorithm with Application for Artificial Neural Network Training. Journal of Intelligent Systems (2018).

2. Ahmed A Abusnaina Rosni Abdullah and Ali Kattan. 2018. Supervised Training of Spiking Neural Network by Adapting the E-MWO Algorithm for Pattern Classification. Neural Processing Letters (2018) 1--22. Ahmed A Abusnaina Rosni Abdullah and Ali Kattan. 2018. Supervised Training of Spiking Neural Network by Adapting the E-MWO Algorithm for Pattern Classification. Neural Processing Letters (2018) 1--22.

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Swarm-based multi-objective optimization of double-layered microchannel heat sink with hybrid solid-porous ribs;Numerical Heat Transfer, Part B: Fundamentals;2024-04-12

2. Salp Swarm Optimization-Based Approximation of Fractional-Order Systems with Guaranteed Stability;Circuits, Systems, and Signal Processing;2024-02-29

3. Optimization of MLP neural network for modeling effects of electric fields on bubble growth in pool boiling;Heat and Mass Transfer;2023-11-16

4. An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering;Artificial Intelligence Review;2023-10-21

5. An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models;Computers and Electrical Engineering;2023-10