The steps in a general procedure of QSPR model construction using molecular descriptors are outlined below.
In the model construction using C5.0 no limits were introduced in maximum purity, maximum depth, and minimum number of records per leaf nodes parameters, to avoid narrowing down the obtained rules.
Since the results were substantially worse for the remaining plant sequences, we chose Phypa7 for model construction using SwissModel, based on an alignment of templates found by the Phyre algorithm.
While these two methods of model construction used the same bioinformatics and experimental data, subtle differences in the order of process steps and algorithms, as shown in Figure 5, used to construct the two models resulted in vastly different functional consequences.
In terms of camera intersection angles, the work of modeling construction site objects using photogrammetry (Dai and Lu 2008) revealed that the closer the angle between the light rays is to a right angle (90 degree), the smaller error would occur (Figure 4).
The geometric and semantic modeling of elements is the next step; this level of model construction uses geometric primitives and data models either established or adapted to the objective in question.
The path being followed is one of the models based on geometric construction using the fracture's morphological data, thus making the most of the different maps produced during the experimental tests.
Reconstruction of the model was initiated with automated construction using Pathway Tools software [ 26, 27].
This is followed by model construction, either using K-nearest neighbors or the support vector machine method.
Recently, Nogaret et al. [7] built a model construction method using an optimization technique to assimilate neural data to determine parameters in a detailed neural model including delay.
