Chapter
Apr 26, 2012
Evaluation of Railway Passenger Station Service Level Based on Artificial Fish-BP ANN
Authors: Ming Lu [email protected], Hongfei Ding [email protected], Xia Luo [email protected], and Gaowei Zhou [email protected]Author Affiliations
Publication: ICTE 2011
Abstract
The artificial fish algorithm can shorten the network convergence speed, improve training rate of BP network, and achieve mutual beneficial complement This paper analyzes main factors that influenced railway passenger station service level, which is evaluated by an index system based on passenger satisfaction. By using artificial fish-BP ANN algorithm, this paper provides a comprehensive assessment of intelligent and effective method to evaluate railway passenger station service level. Through the relevant calculations and examples of comparison, this proposed evaluation method is verified with its correctness, adaptability and feasibility.
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Information
Published In
ICTE 2011
Pages: 1045 - 1051
Copyright
© 2011 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Convergence (mathematics)
- Ecosystems
- Engineering fundamentals
- Environmental engineering
- Fish and fishery management
- Infrastructure
- Mathematics
- Neural networks
- Passengers
- Public transportation
- Rail transportation
- Railroad stations
- Railroad trains
- Terminal facilities
- Transportation engineering
- Transportation management
Authors
Affiliations
College of Traffic and Transportation, Southwest Jiaotong University, No.111 Erhuanlu Beiyiduan, Chengdu, China 610031.E-mail: [email protected]
College of Traffic and Transportation, Southwest Jiaotong University, No.111 Erhuanlu Beiyiduan, Chengdu, China 610031.E-mail: [email protected]
College of Traffic and Transportation, Southwest Jiaotong University, No.111 Erhuanlu Beiyiduan, Chengdu, China 610031.E-mail: [email protected]
College of Traffic and Transportation, Southwest Jiaotong University, No.111 Erhuanlu Beiyiduan, Chengdu, China 610031.E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.