首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:Mathematical Modelling of the Mechanical Properties of Four Varieties of Brine Pickles Using Neural Networks
  • 本地全文:下载
  • 作者:Katarzyna Pentoś ; Dagmara Migut ; Natalia Matłok
  • 期刊名称:Acta Universitatis Cibiniensis. Series E: Food Technology
  • 印刷版ISSN:2344-150X
  • 出版年度:2020
  • 卷号:24
  • 期号:2
  • 页码:257-268
  • DOI:10.2478/aucft-2020-0023
  • 出版社:Walter de Gruyter GmbH
  • 摘要:The study assesses the impact of selected fruit properties and the souring process parameters on the mechanical properties of four varieties of field cucumbers (Śremianin, Śremski, Polan and Izyd) harvested from 2014 to 2016. The analyses focused on the changes in the values of the puncture strength parameters of the peel and the mesocarp, the deformation from the moment of puncture and the energy needed to puncture the peel and the mesocarp of the selected cucumber varieties relative to the year of harvest, fruit size, type of brine, puncture location and souring time. Neural networks were used to model the relationships studied. Sensitivity analysis of the obtained models showed that the length fraction had the greatest impact on the puncture strength and the energy needed to puncture the peel and the mesocarp. On the other hand, deformation was most affected by the souring time and the brine composition.
  • 关键词:cucumber ; puncture strength ; neural modelling ; sensitivity analysis
国家哲学社会科学文献中心版权所有