Research Article
Application of Artificial Neural Network(s) in Predicting Formwork Labour Productivity
Table 3
Pearson correlation matrix for input and output parameters.
| Variables | T | H | P | WS | GS | LP | WT | FL | WM | Productivity |
| T | 1 | 0.151 | −0.093 | −0.122 | 0.390 | −0.120 | −0.122 | 0.358 | 0.078 | 0.589 | H | 0.151 | 1 | 0.338 | 0.026 | −0.167 | 0.219 | −0.110 | 0.048 | 0.176 | 0.090 | P | −0.093 | 0.338 | 1 | 0.076 | 0.065 | −0.063 | −0.037 | −0.288 | −0.057 | −0.175 | WS | −0.122 | 0.026 | 0.076 | 1 | −0.415 | 0.051 | 0.065 | 0.235 | 0.030 | −0.202 | GS | 0.390 | −0.167 | 0.065 | −0.415 | 1 | −0.310 | −0.175 | −0.352 | −0.036 | 0.183 | LP | −0.120 | 0.219 | −0.063 | 0.051 | −0.310 | 1 | −0.135 | 0.142 | 0.177 | −0.053 | WT | −0.122 | −0.110 | −0.037 | 0.065 | −0.175 | −0.135 | 1 | −0.052 | −0.761 | −0.353 | FL | 0.358 | 0.048 | −0.288 | 0.235 | −0.352 | 0.142 | −0.052 | 1 | 0.225 | 0.301 | WM | 0.078 | 0.176 | −0.057 | 0.030 | −0.036 | 0.177 | −0.761 | 0.225 | 1 | 0.328 | Productivity | 0.589 | 0.090 | −0.175 | −0.202 | 0.183 | −0.053 | −0.353 | 0.301 | 0.328 | 1 |
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