... 2013 Bridges Condition monitoring Assets management Neural nets Prediction Performance Modelling (Equation 1) Output from n_i is obtained using a sigmoid transfer function as: (Equation 2) where the gain equals a parameter...

.... © Emerald Group Publishing Limited 2010 Production cycle Simulation Multiple regression analysis Neural nets There are a number of methods being used by the industry to predict load‐haul cycle times in open‐pit mining. The most commonly used approach is computer simulation...

... Publishing Limited 2010 Tendering Neural nets Thermodynamic properties a preference‐uncertainty trade‐off analysis (Ahmad and Minkarah, 1987), by which the attitudes of a bidder towards risk and subjective value judgement are captured; rule‐based expert systems and ANN (Li and Love...

... is presented as the objective of this paper. Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Neural nets Construction industry Forecasting Roads Thailand Predicting project performance is very essential in tracking...

... The values for the second lowest bid ratio ranged from a minimum of 1.16 × 10⁻⁵ to a maximum of 0.55. Construction industry Costs Neural nets Regression analysis Roads It is generally accepted that the final costs of complex projects are difficult to predict and subject...