Application of self‐organising maps towards segmentation of soybean samples by determination of inorganic compounds content

Abstract

The results indicated that samples planted in these two regions differ in their mineral content; however, conventional and transgenic samples grown in the same region show no difference in mineral contents in the grain.

Influence of film coefficient during multicomponent diffusion – KCl/NaCl in biosolid for static and agitated system using 3D computational simulation

“…However, it is not possible to estimate the size of this difference based only on observations. Thus, there is the need for further detailed study on the behavior of the biophysical process with the application of SDM-type ANN, based on not very conventional statistical principles (Haykin, 2001;Cremasco et al, 2016).…”

“…The SDM applied to each ion in each isolated system consists of a 3×3 hexagonal topology with 7,000 training epochs. The initial neighborhood relationship was 1.0, with an initial learning rate of 0.2, decaying exponentially with the training epochs to 1.8238×10 -4 (Haykin, 2001;Cremasco et al, 2016).…”

“…The distribution map (Figure 4) presents the classification of the axes and the total surface for the concentration for each ion and independent system. The SDM network classifies the input data as clusters, which can be formed by one or more neurons (Cremasco et al, 2016). The definition of the groups is characterized by the presence of empty neurons among the clusters.…”

“…When it comes to food biosolids diffusion on the surface as well as the formation of the film may be dependent on the geometry and the morphology of the same. On this sense some data analysis tools such as artificial neural networks (ANN) are necessary to better understand the effects of these factors during the process (Cremasco et al, 2016). The interesting thing about this tool is that the result can be observed through a topological map whose function is to facilitate the interpretation of results (Cremasco et al, 2016).…”

“…On this sense some data analysis tools such as artificial neural networks (ANN) are necessary to better understand the effects of these factors during the process (Cremasco et al, 2016). The interesting thing about this tool is that the result can be observed through a topological map whose function is to facilitate the interpretation of results (Cremasco et al, 2016). This study aims at investigating the influence, formation and distribution of the film in multicomponent diffusion of NaCl and KCl during the brining process of quail eggs in a static and agitated brine system.…”