Prediction of the Normalized COVID-19 Epidemic Prevention Costs of Construction Projects Based on an Optimized Neural Network

Table 1

The factors that affect the costs of the regular prevention of COVID-19 (policy aspects).

Influence factor	Source of policy
Project type	“Guidelines for the regular prevention and control of COVID-19 in housing construction and municipal infrastructure construction sites” (MOHURD)
Total investment	“Guidelines for the regular prevention and control of COVID-19 in housing construction and municipal infrastructure construction sites” (MOHURD)
Construction scale	“Guidelines for the regular prevention and control of COVID-19 in housing construction and municipal infrastructure construction sites” (MOHURD)
Construction period	“Guidance on contract implementation and price adjustment of housing and municipal works under the impact of COVID-19”
Number of individuals in the management team	“Notice on pricing adjustment of construction projects during normal epidemic prevention and control in Hubei province”
	“Guidance on further management of construction contracts during the prevention and control of COVID-19 in Sichuan province”
Number of workers	“Notice on pricing adjustment of construction projects during normal epidemic prevention and control in Hubei province”
	“Guidance on further management of construction contracts during the prevention and control of COVID-19 in Sichuan province”