An initial assessment of the possibilities of fish catch prediction using Gaussian processes
AuthorBjörk, Sara Maria
The fishing and aquaculture industry is one of the largest industries of Norway. Enhanced knowledge of the distribution of fish in the ocean is important for an economical and sustainable fishing industry. This study investigates the possibilities of using Gaussian processes for regression within fish catch prediction. A dataset that combines catch reports from the Norwegian shipping company Havfisk ASA with a multitude of ocean-related data is created, and analysed in this thesis. Stochastic variational inference for Gaussian process models is used for the regression, as the method allows the use of Gaussian processes for regression on large datasets. The aim of this study is to assess the suitability of the dataset for fish catch predictions, in addition to evaluating the predictions from the Gaussian process model. Different investigations were performed within; time dependency, clustering analysis, data transformation and feature selection. The investigations indicates that Gaussian processes for regression do reveal a structure in the dataset and that the collected dataset is suitable for fish catch prediction.
PublisherUiT Norges arktiske universitet
UiT The Arctic University of Norway
The following license file are associated with this item:
Showing items related by title, author, creator and subject.
Pedersen, Aleksander (Doctoral thesis; Doktorgradsavhandling, 2020-10-20)In applications for technical problems, Geometric modeling and sensor technology are key in both scientific and industrial development. Simulations and visualization techniques are the next step after defining geometry models and data types. This thesis attempts to combine different aspects of geometric modeling and sensor technology as well as to facilitate simulation and visualization. It includes ...
Engineering methods for enhancing railway geometry and winter road assessment: A safety and maintenance perspective Brustad, Tanita Fossli (Doctoral thesis; Doktorgradsavhandling, 2020-06-22)In many areas around the world there are limited transportation possibilities when travelling between key cities. If these areas also experience demanding weather conditions or geography, getting from A to B, during difficult conditions, is usually not optimal in regards to accessibility, safety, and comfort. Under challenging conditions, two essential elements in strengthening accessibility, safety, ...
Baadshaug, Ole (Master thesis; Mastergradsoppgave, 2018-06-29)Moving icebergs represent a major problem for shipping, as well as for oil and gas installations in ice infested waters. To be able to take actions against hazardous icebergs, it is necessary to develop models for prediction of iceberg drift trajectories. Many models have been developed in order to do so, using different approaches. These approaches can be divided into two main categories, dynamic ...