Progressive Learning Model for Big Data Analysis Using Subnetwork and Moore-Penrose Inverse
Multilayer analytic learning plays a crucial role in data mining and representation learning.
Nevertheless, most of them encounter inefficiencies in latent space encoding, resulting in …
Nevertheless, most of them encounter inefficiencies in latent space encoding, resulting in …
Flower pollination Algorithm based on triple differential evolution and its application in Research on the classification and leveling of power cloud data
J Han, Y Wei, Y Zhen, J Shi, L Wang, Y Zhang… - Proceedings of the …, 2024 - dl.acm.org
For the clustering problem of data mining, this paper designs a flower pollination algorithm
based on triple differential evolution (FPA-TDE). FPA-TDE uses DE/best/1, DE/best/2 and …
based on triple differential evolution (FPA-TDE). FPA-TDE uses DE/best/1, DE/best/2 and …
Research on the Construction of Damage Effect Dataset and Data Analysis Based on Wargame Replay Big Data
Y Shi - 2024 7th International Conference on Artificial …, 2024 - ieeexplore.ieee.org
In recent years, wargame has become an important competition in China. The data research
of the MiaoSuan Wargame platform provide powerful data computing support for effective …
of the MiaoSuan Wargame platform provide powerful data computing support for effective …