Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory

2020 ◽  
pp. 1-16 ◽  
Author(s):  
Jinjun Tang ◽  
Xinshao Zhang ◽  
Weiqi Yin ◽  
Yajie Zou ◽  
Yinhai Wang
Keyword(s):  
Neural Network ◽  
Missing Data ◽  
Traffic Flow ◽  
Set Theory ◽  
Rough Set ◽  
Fuzzy Neural Network ◽  
Rough Set Theory ◽  
Data Imputation ◽  
Missing Data Imputation ◽  
Fuzzy Neural

Integrating rough set theory and fuzzy neural network to discover fuzzy rules

2003 ◽  
Vol 7 (1) ◽  
pp. 59-73 ◽  
Author(s):  
Shi-tong Wang ◽  
Dong-jun Yu ◽  
Jing-yu Yang
Keyword(s):  
Neural Network ◽  
Set Theory ◽  
Rough Set ◽  
Fuzzy Neural Network ◽  
Rough Set Theory ◽  
Fuzzy Rules ◽  
Fuzzy Neural

Rough Set Fuzzy Neural Network Fault Diagnosis for the over Current Detection of Coal Mining Scraper

2013 ◽  
Vol 321-324 ◽  
pp. 2146-2151
Author(s):  
Yong Qiang Zhang ◽  
Xian Min Ma ◽  
Jian Xiang Yang ◽  
Yan Ni Zhang
Keyword(s):  
Neural Network ◽  
Set Theory ◽  
Rough Set ◽  
Fuzzy Neural Network ◽  
Rough Set Theory ◽  
Driving System ◽  
The Neural Network ◽  
Scraper Conveyor ◽  
Fuzzy Neural ◽  
Network Fault

In this paper the rough set fuzzy neural network is used to monitor the over current fault problem of the mining scraper conveyor motor driving system. The phase current signals are input into the neural network, and then the current signals are processed with fuzzy logic set theory for optimization. Because too many rules may lead to complex computation, the rough set theory is used to reduce the rules after the signal characteristics are extracted. The simulation results show that the precision and reliability of motor driving system of the mining scraper conveyor can be improved by this method.

Research on Performance Evaluation of Finance Transportation Projects Based on Fuzzy Neural Network

2014 ◽  
Vol 667 ◽  
pp. 60-63
Author(s):  
Wei Guo ◽  
Zhen Ji Zhang
Keyword(s):  
Neural Network ◽  
Performance Evaluation ◽  
Set Theory ◽  
Evaluation System ◽  
Fuzzy Neural Network ◽  
Expert Knowledge ◽  
Highway Projects ◽  
Performance Evaluation System ◽  
Transportation Projects ◽  
Fuzzy Neural

A performance evaluation system of finance transportation projects is mainly researched, in which the sub-module of the highway projects evaluation, waterway projects evaluation, Passenger stations projects evaluation, Energy saving projects evaluation are incorporated. In addition, the expert knowledge are inserted in the system, the multi-layer neural network and fuzzy-set theory are used to implement Performance Evaluation system of Finance invest Transportation Projects, and the feasibility and effectiveness of the evaluation system are finally verified by practice.

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