Improved Deep Learning Model for Forecasting Short-Term Load Based on Random Forest Algorithm and Rough Set Theory

F Yu, S Youbin, JIN Sheng, F Jiahuan… - Power Generation …, 2023 - pgtjournal.com
Accurate power load forecasting is conducive to ensuring the safe and economic operation
of the power system. Aiming at the problems of low prediction accuracy and long time …

Emergency supply chain management based on rough set–house of quality

Y He, XD Liang, FM Deng, Z Li - International Journal of Automation and …, 2019 - Springer
Due to the frequent occurrence of various emergencies in recent years, people have put
forward higher requirements on the emergency supply chain management. It is of great …

A computing method for attribute importance based on BP neural network

PAN Qingxian, D Hongbin, HAN Qilong, W Yingjie… - JUSTC, 2017 - justc.ustc.edu.cn
As an important method for machine learning, artificial neural network has been applied
successfully in artificial intelligence, pattern recognition, image processing and other fields …

Permission and role automatic assigning of user in role-based access control

D Han, H Zhuo, L **a, L Li - Journal of Central South University, 2012 - Springer
Role mining and setup affect the usage of role-based access control (RBAC). Traditionally,
user's role and permission assigning are manipulated by security administrator of system …

Ensemble feature selection integrating elitist roles and quantum game model

W Ding, J Wang, Z Guan, Q Shi - Journal of Systems …, 2015 - ieeexplore.ieee.org
To accelerate the selection process of feature subsets in the rough set theory (RST), an
ensemble elitist roles based quantum game (EERQG) algorithm is proposed for feature …

Rough set model of incomplete information systems based on the weighted threshold tolerance relation

S WU, L PU, K CHENG, X GAO - Chinese Journal of Engineering, 2012 - cje.ustb.edu.cn
In order to overcome the shortage that attribute weights are not taken into consideration in
the existing extensions of rough sets under incomplete information systems, a new rough set …

Fault diagnosis method based on extension case-based reasoning

T Wen, A Xu, W Sun - 北京航空航天大学学报, 2015 - bhxb.buaa.edu.cn
Extension case-based reasoning is a kind of knowledge reasoning method which is the
combination of the extenics and case-based reasoning. Firstly, the representation of …

[PDF][PDF] Research on College Students' Learning Ability Based on Multi-Granularity Rough

M Zhou, Y Xu, B Li - 2020 - pdf.hanspub.org
Learning ability is the core competitiveness of college students. The cultivation of college
students' learning ability is one of the missions of the reform and development of higher …

[PDF][PDF] The Extension of the Rough SetModel

M Wang, A Xu, Y Liu, W Wang - 2013 - pdf.hanspub.org
Because of the incomplete information and inequivalent binary relation on the domain, the
classic rough set model will need to be expanded. On the one hand, the equivalence …

[引用][C] Rockburst prediction based on evidence theory

JIA Yi-peng, LÜ Qing, S Yue-quan, ZHI Mo-mo, DU Li-li - Chinese Journal of …, 2014