eng Science and Education Publishing American Journal of Civil Engineering and Architecture 2328-3998 2018-04-18 6 4 147 153 10.12691/ajcea-6-4-3 AJCEA2018643 article Hamid Reza Taghva 1 Hassan Ghassemi gasemi@aut.ac.ir 1 Hashem Nowruzi 1 Department of Maritime Engineering, Amirkabir University of Technology, Tehran, Iran In the current study, sea keeping performance of the S-175 container ship is estimated under irregular wave conditions by using numerical calculation and artificial neural networks (ANNs). For this purpose, strip theory is employed to calculate of the response amplitude operator (RAO) and wave resistance. Then, the RAO of heave, pitch, and roll motions and added resistance are used in the considered ANN. In our calculation, the ship dimensions are changed at the same displacement and body form. By comparing the RAO diagrams and according to survey seakeeping criteria, optimum hull is determined for seakeeping performance. In addition, predictive equations based on length of vessel (L), the breadth (B), draft (T) and wave encounter angle (μ), are presented to estimated of seakeeping performance by using ANN. http://pubs.sciepub.com/ajcea/6/4/3/ajcea-6-4-3.pdf seakeeping response amplitude operator irregular wave artificial neural network