Research Article

Prediction of the Wall Factor of Arbitrary Particle Settling through Various Fluid Media in a Cylindrical Tube Using Artificial Intelligence

Table 3

Fit of the experimental results to the predicted values of the comprehensive model.

Correlated Sum of
squared error
( )
rmsa
deviation
(devrms)
Sum of squared
relative error
( )
Sum of
relative error
( )
Correlation
coefficient
( )
Range analysis:
predicted data points
within specified range
of experimental results
±15%±10%±7.5%±5%

Training sets
 Sphere1.82820.106233.626727.8540.484375.9359.8847.5330.25
 Cylinder0.1190.02510.72647.0930.97497.3695.2487.376.72
 Rectangular prism0.05070.03860.32592.10790.979291.1885.2979.4161.77
 All particles1.99780.07234.67937.05490.877387.7979.4869.8755.84
Test sets
 Sphere0.90380.129419.232611.73150.467572.2266.6751.8535.19
 Cylinder0.04020.02550.22362.54310.966996.7790.3283.8772.58
 Rectangular prism0.011240.03060.06340.66570.779291.6791.6783.3358.33
 All particles0.95520.0863919.520514.94030.780485.9480.4770.3155.47

rms indicates root-mean square.