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International Journal of Interdisciplinary Research

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Table 5 Individual errors between experimental and predicted values of thermal resistance & thermal absorptivity by ANN

From: Development and comparison of artificial neural network and statistical model for prediction of thermo-physiological properties of polyester–cotton plated fabrics

Sample code Experimental thermal resistance × 10−3 (Km2/W) Predicted thermal resistance × 10−3 (Km2/W) Error % \(\left( {\frac{{\left| {E - P} \right|}}{E}} \right)\) *100 Experimental thermal absorptivity (Ws1/2/m2K) Predicted thermal absorptivity (Ws1/2/m2K) Error % \(\left( {\frac{{\left| {E - P} \right|}}{E}} \right)\) *100
PETC3 20.50 21.135 3.10 84.0 83.74 0.31
PETC6 20.50 21.200 3.42 94.1 85.18 9.48
PETC10 24.50 26.593 8.54 70.1 72.22 2.99
PETC15 31.20 32.455 4.02 68.5 72.10 5.25
PETC27 22.80 22.417 1.68 92.5 87.48 5.43
PETC30 25.50 26.395 3.51 74.2 73.36 1.14
PETC32 23.87 23.345 2.20 111.9 97.25 13.11
PETC35 29.22 26.356 9.80 81.32 87.37 7.44
PETC41 31.10 33.847 8.83 149.5 141.90 5.12
PETC45 35.06 36.219 3.30 131.0 132.40 1.07
Mean absolute percentage error    4.84    5.13