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Kong, S C W, Li, H and Shen, L Y (2001) An Internet-based electronic product catalogue of construction materials. Construction Innovation, 1(04), 245–57.

Teller, J (2001) An on-line glossary as a way to foster the construction of a common culture among urban experts, stakeholders and decision-makers. Construction Innovation, 1(04), 259–71.

Vojinovic, Z and Kecman, V (2001) Modelling empirical data to support project cost estimating: neural networks versus traditional methods. Construction Innovation, 1(04), 227–43.

  • Type: Journal Article
  • Keywords: Cost estimating; Neural networks; Traditional methods
  • ISBN/ISSN: 1471-4175
  • URL: http://www.emeraldinsight.com/10.1108/14714170110814622
  • Abstract:
    In this paper we are presenting our research findings on how effective neural networks are at forecasting and estimating preliminary project costs. We have shown that neural networks completely outperform traditional techniques in such tasks. In exploring nonlinear techniques almost all of the current research involves neural network techniques, especially multilayer perceptron (MLP) models and other statistical techniques and few authors have considered radial basis function neural network (RBF NN) models in their research. For this purpose we have developed RBF NN models to represent nonlinear static and dynamic processes and compared their performance with traditional methods. The traditional methods applied in this paper are multiple linear regression (MLR) and autoregressive moving average models with eXogenous input (ARMAX). The performance of these and RBF neural network and traditional models is tested on common data sets and their results are presented. Record 117.

Walker, D H T, Peters, R J, Hampson, K D and Thompson, M J (2001) Achieving a responsive industrial relations environment for construction industry workers: a project alliancing case study. Construction Innovation, 1(04), 211–25.