A Multilayer Perception for Estimating the Overall Risk of Residential Projects in the Conceptual Stage

The ability to foresee hazards early plays a critical role in estimating the entire cost of project. Although several studies have established models predict total project at conceptual stage, there remains research vacuum measuring overall risk this stage. Using artificial neural networks, provides strategy for residential projects There are eight important components suggested paradigm. model was created using data from 149 projects. In first hidden layer model, five neurons, and second layer, three neurons. model’s mean absolute error rate 11.7%. stage projects, number floors, type interior finishes, implementation management processes significant aspects that influence risk. proposed assists managers precisely project’s risk, which leads more accurate estimation contract’s worth allowing stakeholders decide whether or not proceed with