Psychological measure on fish catches and its application to optimization criterion for machine-learning-based predictors

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Psychological fish catches are designed and successfully applied to an optimization criterion for machine-learning-based predictors. In automatic fish catch prediction, prediction errors allowed by fishery workers differ depending on fish catches. Such error tolerance has not been considered both in evaluating prediction results and in training predictors. In the present study, the investigation of fishermen's tolerance in prediction errors using a psychophysics method and subsequently reflecting it in constructing a psychological measure on fish catches is performed. In addition, the psychological measure obtained is exploited in the optimization of fish catch prediction models to provide forecasts intuitive to fishery workers.

Original languageEnglish
Title of host publicationOCEANS 2019 - Marseille, OCEANS Marseille 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114507
DOIs
Publication statusPublished - 2019 Jun
Event2019 OCEANS - Marseille, OCEANS Marseille 2019 - Marseille, France
Duration: 2019 Jun 172019 Jun 20

Publication series

NameOCEANS 2019 - Marseille, OCEANS Marseille 2019
Volume2019-June

Conference

Conference2019 OCEANS - Marseille, OCEANS Marseille 2019
Country/TerritoryFrance
CityMarseille
Period19/6/1719/6/20

Keywords

  • Constant method
  • Fish catch prediction
  • Machine learning
  • Psychological measure
  • Psychophysics

ASJC Scopus subject areas

  • Oceanography
  • Automotive Engineering
  • Management, Monitoring, Policy and Law
  • Water Science and Technology
  • Instrumentation

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