TY - JOUR EP - 482 UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091294092&doi=10.1007%2f978-981-15-5753-8_43&partnerID=40&md5=c03e3d387fa8f7ab618caca2c425139d ID - scholars13756 N2 - There will be a force on the floating systems after applied environmental load which has an important effect on the performance and safety of the structure. Therefore, the research on orientation of the structure and wave impact has a practical significance. Experimental and numerical simulation becomes valuable in predicting the performance during the system operation. Hence, in this article, a study on the effect of FPSO response by changing the orientation of FPSO has been presented by conducting experiments in the UTP wave basin subjected to regular wave condition. The results are used to be validated with numerical models using a commercial software AQWA by the 3D frequency domain theory and presented in terms of Response Amplitude Operators (RAO) of six degrees of freedom. To accurately consider the effect of response, artificial neural network (ANN) is adopted to predict the FPSO behaviour under different orientations and validate the results. ANN can provide meaningful solutions and can process information in extremely rapid mode ensuring high accuracy of prediction, especially for long response in time histories. Results show that three methods were achieved to generalize the responses. © Springer Nature Singapore Pte Ltd 2020. Y1 - 2020/// TI - Experimental studies of fpso responses with validation by numerical and artificial neural network prediction AV - none N1 - cited By 0; Conference of 5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019 ; Conference Date: 19 November 2019 Through 21 November 2019; Conference Code:244879 SN - 21954356 PB - Springer Science and Business Media Deutschland GmbH JF - Lecture Notes in Mechanical Engineering SP - 469 A1 - Azizan, N.L. A1 - Irawan, R. A1 - Liew, M.S. A1 - Al-Yacouby, A.M. A1 - Danyaro, K.U. ER -