Prediction of surface distress using neural networks | Zendy

Hamdi | Zendy; Sigit Pranowo Hadiwardoyo | Zendy; A. Gomes Correia | Zendy; Paulo A. A. Pereirâ | Zendy; Paulo Cortez | Zendy

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Prediction of surface distress using neural networks

Author(s) -

Hamdi,

Sigit Pranowo Hadiwardoyo,

A. Gomes Correia,

Paulo A. A. Pereirâ,

Paulo Cortez

Publication year - 2017

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4985502

Subject(s) - pothole (geology) , road surface , artificial neural network , rut , index (typography) , computer science , distress , sensitivity (control systems) , data mining , artificial intelligence , engineering , asphalt , civil engineering , geography , geology , electronic engineering , psychology , petrology , world wide web , cartography , psychotherapist

The Authors are grateful to the Lembaga Pengelola Dana Pendidikan (LPDP) for the financial support provided to this thesis through the grant financed by the Ministry of Finance Republic of Indonesia.

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