Process cost modelling using neural networks

摘要

One method of establishing cost-estimating relationships (CERs) that appears to offer advantages is that of neural networks as they are 'model-free estimators', hence providing key advantages over traditional techniques, e.g. regression analysis. However, the complexity of neural network (NN) structures and the availability of a wide range of structural alternatives may make it difficult to select an appropriate network for a specific cost-modelling requirement.