Research Article

Multivariable Regression and Adaptive Neurofuzzy Inference System Predictions of Ash Fusion Temperatures Using Ash Chemical Composition of US Coals

Table 3

Correlation coefficients ( ) between AFTs and independent variables.

VariableIDTSTFT
LinearQuadraticCubicLinearQuadraticCubicLinearQuadraticCubic

SiO20.600.6020.6250.640.640.670.680.710.72
Al2O30.620.640.650.680.690.700.750.750.77
CaO0.170.200.210.180.220.220.240.270.28
MgO0.0180.020.020.0180.020.030.020.030.04
MnO0.110.170.230.120.190.250.140.230.29
Na2O0.0060.0080.0090.0080.0090.010.010.0110.014
K2O0.020.0250.0460.0350.0360.060.060.060.08
Fe2O30.600.670.680.630.680.680.630.650.65
TiO20.260.390.410.290.440.460.310.490.53
P2O50.0010.0040.0070.0010.0060.00800.0040.005
SO30.180.240.250.210.260.270.270.320.32
Base0.760.840.840.800.860.860.840.850.85
Acid0.740.810.810.790.840.840.840.850.85
Base/Acid0.580.760.820.630.810.860.720.850.87
Dolomite ratio0.0150.110.210.010.110.21 0.0030.070.18
Silica ratio0.760.800.800.800.820.820.840.840.84
SiO2/Al2O30.0040.0040.0070.0050.0060.0090.0090.010.014
Fe2O3/CaO0.090.100.100.090.100.100.070.070.07