海鳥の経路予測のためのGPSバイオロギングデータと畳み込みニューラルネットワークによるモデル化

抄録

In recent years, various detailed data useful for biological studies are available. It is called biologging that investigating wildlife ecology by an attached data logger, sensor and so on. The aim of our research is to derive a data-driven model for prediction of seabird’s navigation route. In particular, we investigate supervised learning using a convolutional neural network and obtained GPS bio-logging data of Streaked shearwaters breeding on Awashima Island, Japan.