Efficient construction and convergence analysis of sparse convolutional neural networks
S Zhao, Q Fan, Q Dong, Z Xing, X Yang, X He - Neurocomputing, 2024 - Elsevier
In this paper, a new variant of convolutional neural network (CNN) based on L 1
regularization is proposed. The main consideration is to generate a sparse weight matrix, ie …
regularization is proposed. The main consideration is to generate a sparse weight matrix, ie …
An improved genetic salp swarm algorithm with population partitioning for numerical optimization
Q Fan, S Zhao, M Shang, Z Wei, X Huang - Information Sciences, 2024 - Elsevier
The metaheuristic method is effective in solving complex optimization problems. Among
these methods, the Salp Swarm algorithm (SSA), inspired by the sailing and foraging …
these methods, the Salp Swarm algorithm (SSA), inspired by the sailing and foraging …