Open AccessModelling the production process of Roman snail using RIDGE and LASSO regression
Author(s) -
S N Tkachenko,
I A Tkachenko,
Svetlana Shpilevaya,
В. П. Дедков
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1902/1/012134
Subject(s) - snail , helix pomatia , lasso (programming language) , ridge , regression analysis , regression , production (economics) , process (computing) , econometrics , ecology , mathematics , statistics , geology , computer science , biology , paleontology , macroeconomics , world wide web , economics , operating system
This article is a continuation of a series of works on the study and modelling of the production process of the Roman snail ( Helix pomatia L. ). The paper considers the applicability of three models for simulating the average weight of groups of Roman snails based on the values of environmental parameters, snail’s ration and specific factors characteristic of molluscs. The main focus of the simulation is on two models: RIDGE and LASSO regression. It is proved that RIDGE regression gives the best results in modelling. The combination of qualitative and quantitative parameters (air temperature, relative humidity, nutrition and some specific factors characteristic of molluscs) is sufficient for modelling the production process of Roman snail.