Artificial neural network model for ground vibration amplitudes prediction due to light railway traffic in urban areas

The growth of density and circulation speed of railway transportation systems in urban areas increases the importance of the research issues of the produced environmental impacts. This study presents a field data analysis, obtained during monitoring campaigns of ground vibration, due to light railwa...

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Veröffentlicht in:	Neural computing & applications 2018-06, Vol.29 (11), p.1045-1057
Hauptverfasser:	Paneiro, G., Durão, F. O., Costa e Silva, M., Falcão Neves, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data analysis Data Mining and Knowledge Discovery Environmental impact Ground motion Hyperbolic functions Image Processing and Computer Vision Neural networks Original Article Probability and Statistics in Computer Science Rail transportation Traffic models Traffic speed Transfer functions Transportation systems Urban areas Vibration analysis Vibration monitoring
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