Estimating construction productivity: neural-network-based approach

摘要: A neural‐network (NN) and observation‐data‐based approach to estimating construction operation productivity is presented. The main reason for using neural networks estimation the requirement of performing complex mapping environment management factors productivity. generic description proposed provided, followed by an example excavation hauling operation. consisted two modules: (1) Estimating excavator capacity based on job conditions; (2) efficiency attributes elements. An experiment with a desktop model was developed generating sample cycle‐time data training first network. To provide set second network, simulation program production‐rate data. Test results show that NN can produce sufficiently accurate estimate limited data‐collection effort, ...