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Article
Feature Analysis Network: An Interpretable Idea in Deep Learning
Deep Learning (DL) stands out as a leading model for processing high-dimensional data, where the nonlinear transformation of hidden layers effectively extracts features. However, these unexplainable features m...
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Article
A precise method for RBMs training using phased curricula
Restricted Boltzmann machines (RBMs) are efficacious undirected neural networks for generating features and reconstructing images. Nevertheless, the classical persistent chain sampling algorithm has the proble...
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Article
Bioinspired cooperative control method of a pursuer group vs. a faster evader in a limited area
The problem of a faster evader hunted by Np pursuers in a limited area has been a significant subject in recent years. Nevertheless, it is still challenging to develop a cooperative strategy for pursuers and an e...