An ANN model for the influence of siding materials on single-family home values
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abstract
The buyer's preference of varius siding materials by estimating the market-cleaning prices determined by the buyers of single-family homes (SFHs) using an Artificial Neural Network (ANN) model was discussed. The analysis was restricted to homes that were highly homogeneous in the structural attributes to eliminate the impact of such attributes on the home values. The model was evaluated using the data that was not used during the training indicating the good agreement between the actual and ANN predicted price. The comparison reveals that both the analytical methods support one another and have assigned values similar weights to the varius studied construction types.