Artificial Neural Network for Transportation Infrastructure Systems

被引：7
|
作者：
Gharehbaghi, Koorosh [1 ]
机构：
[1] RMIT Univ, Melbourne, Vic, Australia
来源：
2016 5TH INTERNATIONAL CONFERENCE ON TRANSPORTATION AND TRAFFIC ENGINEERING (ICTTE 2016) | 2016年 / 81卷
关键词：
D O I：
10.1051/matecconf/20168105001
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Artificial Neural Networks (ANNs) represents the overall interconnection of the systems together with numeric weighting that can be tuned based on experience, system Inputs, Processing and Outputs. Moreover, the real advantage of ANNs is the ability to solve complex system problems such as one which are found within the Transportation Infrastructure Systems. Artificial Neural Networks (ANNs) for Transportation Infrastructure System must incorporate system engineering techniques that will be sustainable for future years and maintained at acceptable levels. Accordingly, this paper will introduce the concept of Artificial Neural Networks (ANNs) and its core functions for the optimization of Transportation Infrastructure Systems in particular the maintenance processes.
引用
收藏
页数：5
相关论文
共 50 条
  • [31] Artificial neural network for prediction of water quality in pipeline systems
    Kim, JH
    Woo, H
    Ahn, HW
    Kim, WG
    ADVANCES IN WATER SUPPLY MANAGEMENT, 2003, : 487 - 495
  • [32] Reengineering of corporation organizations using artificial neural network systems
    Wan, Difang
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 1998, 9 (01): : 66 - 68
  • [33] Artificial Neural Network for Location Estimation in Wireless Communication Systems
    Chen, Chien-Sheng
    SENSORS, 2012, 12 (03) : 2798 - 2817
  • [34] Artificial Neural Network for Technical Diagnostics of Control Systems by Thermography
    Orlov, S. P.
    Girin, R., V
    Uyutova, O. Yu
    2018 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM), 2018,
  • [35] Fault diagnosis of pneumatic systems with artificial neural network algorithms
    Demetgul, M.
    Tansel, I. N.
    Taskin, S.
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (07) : 10512 - 10519
  • [36] The Role of Artificial Neural Network Models in Ensuring the Stability of Systems
    Burduk, Anna
    10TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 2015, 368 : 427 - 437
  • [37] Artificial Neural Network Based Model for Local Position Systems
    Ngah, Syahrulanuar
    Zhu, Hui
    Chen, Kui-Ting
    Tanabe, Yuji
    Baba, Takaaki
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2009, 9 (07): : 97 - 106
  • [38] Artificial neural network model for water table management systems
    Dept. of Agric. and Biosystems Eng., McGill University, Ste-Anne-de-Bellevue, Que., Canada
    不详
    Can Water Resour J, 1 (25-33):
  • [39] An artificial neural network model for water table management systems
    Yang, CC
    Prasher, SO
    Tan, CS
    DRAINAGE IN THE 21ST CENTURY: FOOD PRODUCTION AND THE ENVIRONMENT: PROCEEDINGS OF THE 7TH INTERNATIONAL DRAINAGE SYMPOSIUM, 1998, : 250 - 257
  • [40] MODELING OF POLYMERIC SYSTEMS USING ARTIFICIAL NEURAL NETWORK COMPUTING
    DARSEY, JA
    SOMAN, AG
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1993, 205 : 38 - POLY
12345