Artificial neural networks for pavement evaluation

被引：0
|
作者：
Garrick, Norman W.
Kalikiri, Vinod K.
Achenie, Luke E.K.
机构：
来源：
Intelligent Engineering Systems Through Artificial Neural Networks | 1994年 / 4卷
关键词：
Pavements - Pattern recognition - Learning systems - Data acquisition - Data reduction - Image recording - Computer simulation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Supervised neural networks have been successfully used for pattern recognition tasks in many fields of engineering because of their ability to generalize based on a training data set. The aim of our research work at the University of Connecticut (UCONN) is to develop an automated system, using the pattern recognition capabilities of artificial neural networks, for characterizing common pavement distress features like cracks, patches and potholes.
引用
收藏
页码：461 / 466
相关论文
共 50 条
  • [21] Evaluation of artificial neural networks for pineapple grading
    Boonmung, Suwanee
    Chomtee, Boonorm
    Kanlayasiri, Kannachai
    JOURNAL OF TEXTURE STUDIES, 2006, 37 (05) : 568 - 579
  • [22] Transient stability evaluation with artificial neural networks
    Celli, G.
    Pilo, F.
    Usai, M.
    Proceedings of the Universities Power Engineering Conference, 1999, 1 : 58 - 61
  • [23] Structural evaluation of materials by artificial neural networks
    Shtrauss, V
    Lomanovskis, U
    MECHANICS OF COMPOSITE MATERIALS, 1999, 35 (01) : 77 - 88
  • [24] Evaluation of artificial neural networks for project selection
    Flintsch, GW
    Zaniewski, JP
    Medina, A
    ARTIFICIAL INTELLIGENCE AND MATHEMATICAL METHODS IN PAVEMENT AND GEOMECHANICAL SYSTEMS, 1998, : 13 - 22
  • [25] Structural evaluation of materials by artificial neural networks
    V. Shtrauss
    U. Lomanovskis
    Mechanics of Composite Materials, 1999, 35 : 77 - 88
  • [26] Estimate remaining life of flexible pavement systems using Artificial Neural Networks
    Ferregut, C
    Nazarian, S
    Abdallah, IN
    Melchor-Lucero, O
    COMPUTATIONAL INTELLIGENCE APPLICATIONS IN PAVEMENT AND GEOMECHANICAL SYSTEMS, 2000, : 121 - 132
  • [27] Predicting Pavement Marking Retroreflectivity Using Artificial Neural Networks: Exploratory Analysis
    Karwa, Vishesh
    Donnell, Eric T.
    JOURNAL OF TRANSPORTATION ENGINEERING, 2011, 137 (02) : 91 - 103
  • [28] Comparative analysis of two artificial neural networks using pavement performance prediction
    Roberts, Craig A.
    Attoh-Okine, Nii O.
    Computer-Aided Civil and Infrastructure Engineering, 1998, 13 (05): : 339 - 348
  • [29] Modeling the pavement serviceability ratio of flexible highway pavements by artificial neural networks
    Terzi, Serdal
    CONSTRUCTION AND BUILDING MATERIALS, 2007, 21 (03) : 590 - 593
  • [30] Artificial neural networks–based backcalculation of the structural properties of a typical flexible pavement
    Mehmet Saltan
    Volkan Emre Uz
    Bekir Aktas
    Neural Computing and Applications, 2013, 23 : 1703 - 1710
12345