Accepted Manuscript Predicting the principal strong ground motion parameters: A deep learning approach Ali Derakhshani, Amir Hossein Foruzan PII: S1568-4946(19)30147-4 DOI: https://doi.org/10.1016/j.asoc.2019.03.029 Reference: ASOC 5399 To appear in: Applied Soft Computing Journal Received date : 22 August 2018 Revised date : 6 March 2019 Accepted date : 12 March 2019 Please cite this article as: A. Derakhshani and A.H. Foruzan, Predicting the principal strong ground motion parameters: A deep learning approach, Applied Soft Computing Journal (2019), https://doi.org/10.1016/j.asoc.2019.03.029 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.