Estimation of longitudinal precipitation of liquid indicator (LPLI) with the use of the artificial neural network (MLP, RBF) models

Abstract

The study presents the results of the analysis of two artificial neural networks as models of relationships between longitudinal precipitation of liquid indicator and selected technical and technological factors of spraying process. The measurements were conducted in laboratory conditions. A wind tunnel was primary element in experimental set-up. Based on the results, it can be stated that MLP model (R2 = 0.908 for validation data set) was more accurate that RBF model (R2 = 0.837 for validation data set). The analysis of input variables’ contribution indicated that the LPLI is influenced the most by the air flow speed and the droplet size. Spray boom height and spray nozzle angle were less influencing parameters.

Authors and Affiliations

Katarzyna Pentoś, Beata Cieniawska, Deta Łuczycka

Keywords

Related Articles

An analysis of usefulness of raspberry stalks for briquette production

The paper presents research on the strength properties of raspberry stems from cuttings and their suitability for the production of briquettes. For this purpose, the cutting resistance, Charpy impact and bending stiffnes...

Occurrence and concentration of mycotoxins in grass silage from selected farms

The aim of the study was to assess the frequency of occurrence and concentrations of mycotoxins in grass silages depending on meadow location, term of harvest and type of fertilizer used. The research material consisted...

Determination of selected elements of the nutritional value and bioactive compounds content in organic sugar syrups

The growing consumers’ awareness in the nutrition area, the desire to look for alternatives to white sugar and the trend to live healthily have led to an increase in the supply of sugar syrups on the organic market. Insu...

Проектирование выпускных систем тракторных двигателей

B статье описаны: методики проектирования систем выпуска отработавших газов, расчета шумовых характеристик глушителя, оптимизации технических характеристик выпускной системы

The mineral elements content in hair of cows from conventional and organic farms

The objective of this study was to determine the effect of different production systems on contents of 29 major and trace elements in cow’s hair. The experimental material consisted of 30 cows of Polish Holstein-Friesian...

Download PDF file
  • EP ID EP520817
  • DOI -
  • Views 90
  • Downloads 0

How To Cite

Katarzyna Pentoś, Beata Cieniawska, Deta Łuczycka (2018). Estimation of longitudinal precipitation of liquid indicator (LPLI) with the use of the artificial neural network (MLP, RBF) models. Journal of Research and Applications in Agricultural Engineering (ISSN 1642-686X), 63(1), 58-62. https://europub.co.uk/articles/-A-520817