まき網漁船の操業時横揺れ動揺特性に関する研究 : ニューラルネットワークモデルによる横揺れ運動の推定

概要

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Strong nonlinear movements emerge frequently on the rolling motion of fishing vessels since complicated forces generated during the fishing operation would act the dynamic response system. It is so serious to estimate the safety of a purse seinor because of using fairly huge fishing gear from the ship side. However, there are difficulties to forecast appropriately such rolling motion using the differential equation based on the physical model. In this paper, the authors took notice of a methodology for applying a Neural Network model to the data measured on the model test in the tank, that exhibited nonlinear response to the wave, and then inspected the effectiveness of the forecasting the above rolling motions. The comparisons of the performances of forecasting between a Neural Network model and a Vector Autoregressive (VAR) model have been suggested that it might be reasonable to estimate the safety on the characteristic rolling motion by using a Neural Network model.
社団法人日本航海学会の論文
1998-03-25