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Yue Hou
Lan Zhou Jiao Tong University

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 1 
Rough Set Extension Model of Incomplete Information System Yue Hou
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper investigated the incomplete information system in which situation of the more missing or absent unknown values. Based on the original characteristic relation, we proposed a new reflective relation which was controlled by the parameter alpha, beta. By analyzing illustrative examples and comparing to the original characteristic relation, this paper indicated the validity and practicability of the new-defined binary relation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4732
Chaotic Prediction for Traffic Flow of Improved BP Neural Network Yue Hou; Yuemei Mai
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A prediction algorithm for traffic flow prediction of BP neural based on Differential Evolution(DE) is proposed to overcome the problems such as long computing time and easy to fall into local minimum by combing DE and neural network . In the algorithm, DE is used to optimize the thresholds and weights of BP neural network, and the BP neural network is used to search for the optimal solution. The efficiency of the proposed prediction method is tested by the simulation of two typical chaotic time series and real traffic flow. The simulation results show that the proposed method has higher precision compared with the traditional BP neural network，so prove it is feasible and effective in the practical prediction of traffic flow. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2324
Co-Authors Yuemei Mai