Accepted Manuscript Title: A new constitutive model of a magneto-rheological fluid actuator using an extreme learning machine method Authors: Irfan Bahiuddin, Saiful A. Mazlan, Mohd. I. Shapiai, Seung-Bok Choi, Fitrian Imaduddin, Mohd. A.A. Rahman, Mohd. H.M. Ariff PII: S0924-4247(18)30707-6 DOI: https://doi.org/10.1016/j.sna.2018.09.010 Reference: SNA 10985 To appear in: Sensors and Actuators A Received date: 24-4-2018 Revised date: 8-8-2018 Accepted date: 3-9-2018 Please cite this article as: Bahiuddin I, Mazlan SA, Shapiai MI, Choi S-Bok, Imaduddin F, Rahman MAA, Ariff MHM, A new constitutive model of a magneto-rheological fluid actuator using an extreme learning machine method, Sensors and amp; Actuators: A. Physical (2018), https://doi.org/10.1016/j.sna.2018.09.010 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.