Quantity estimating of building with logarithm-neuron networks

Yeh, I C (1998) Quantity estimating of building with logarithm-neuron networks. Journal of Construction Engineering and Management, 124(5), pp. 374-380. ISSN 0733-9364

Abstract

Cost estimating is a computational process that attempts to predict the final cost of a future project even though not all of the parameters are known when the cost estimate is prepared. Artificial neural networks are a good tool to model nonlinear systems, but the learning speed of a network is often unacceptably slow and the generalization capability is often unsatisfactorily low in solving highly nonlinear function mapping problems. In this paper, a novel neural network architecture, the logarithm-neuron network (LNN), is proposed and examined for its efficiency and accuracy in quantity estimating of steel and RC buildings. The architecture of the LNN is the same as that of the standard back-propagation neural network (BPN), but logarithm neurons are added to the input layer and output layer of the network. The results indicate that the logarithm neurons in the network provide an enhanced network architecture to improve significantly the performance of these networks in quantity estimating for buildings.

Item Type: Article
Index terms: estimating, neural network, accuracy, artificial neural network, cost estimate, propagation, mapping, efficiency, cost estimating
Subjects: modelling and simulation, artificial intelligence, engineering process, financial and cost management, spatial and geospatial analysis, professional development, performance management
Topics: Quality Management, Engineering Principles, Information Management, Digital Applications, Cost Management, Research Practice
Descriptive scope: 2 PC

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here