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Badger, W W and Mulligan, D E (1995) Rationale and Benefits Associated with International Alliances. Journal of Construction Engineering and Management, 121(01), 100–11.

Basha, I M, Gab-Allah, A A and Amer, M I (1995) Construction of Ameria Caisson in Egypt. Journal of Construction Engineering and Management, 121(01), 13–19.

Boles, W W, Maxwell, D A, Scott, W D, Heermann, P D, Yarborough, T and Underwood, J (1995) Construction Automation and Robotics—Pathway to Implementation. Journal of Construction Engineering and Management, 121(01), 143–52.

Chao, L and Skibniewski, M J (1995) Neural Network Method of Estimating Construction Technology Acceptability. Journal of Construction Engineering and Management, 121(01), 130–42.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1995)121:1(130)
  • Abstract:
    A neural network (NN) based approach is proposed for predicting the adoption potential or acceptability of a new construction technology. The acceptability of a technology for a target operation is defined as the proportion of users that choose to use the technology in comparison to a conventional (base) technology. All existing alternative technologies for the considered operation are collected as samples for study. The performance characteristics of each sample technology are stored in a vector comprising eigenvalues determined by using the analytical hierarchy process (AHP) method, and its acceptability is determined using a poll. The obtained performance-acceptability pairs are used to train a neural network using the back-propagation algorithm. The trained network can then be used to predict the acceptability of a new technology in question, given its performance attributes. Possible information sources for training set construction and possible applications of the approach are discussed. An example estimate of the adoption prospect of a new concrete distribution system for concrete placement on a mid-rise building project is provided. Tests of the presented NN approach with simulated data show a promising result, especially when the poll size used is sufficiently large.

Christian, J and Hachey, D (1995) Effects of Delay Times on Production Rates in Construction. Journal of Construction Engineering and Management, 121(01), 20–26.

Everett, J G and Thompson, W S (1995) Experience Modification Rating for Workers' Compensation Insurance. Journal of Construction Engineering and Management, 121(01), 66–79.

Fisher, D J, O'Neill, M W and Contreras, J C (1995) DS^2: Drilled Shaft Decision Support System. Journal of Construction Engineering and Management, 121(01), 86–94.

Garsden, B R (1995) Postconstruction Evaluation. Journal of Construction Engineering and Management, 121(01), 37–42.

Jaraiedi, M, Plummer, R W and Aber, M S (1995) Incentive/Disincentive Guidelines for Highway Construction Contracts. Journal of Construction Engineering and Management, 121(01), 112–20.

Kibert, C J and Coble, R J (1995) Integrating Safety and Environmental Regulation of Construction Industry. Journal of Construction Engineering and Management, 121(01), 95–99.

Maloney, W F and McFillen, J M (1995) Job Characteristics: Union-Nonunion Differences. Journal of Construction Engineering and Management, 121(01), 43–54.

Mayo, R E and Liu, G (1995) Reform Agenda of Chinese Construction Industry. Journal of Construction Engineering and Management, 121(01), 80–85.

Navon, R (1995) Economic Benefits of Lightweight versus Conventional Construction Methods. Journal of Construction Engineering and Management, 121(01), 27–36.

Thomas, H R, Smith, G R and Cummings, D J (1995) Have I Reached Substantial Completion?. Journal of Construction Engineering and Management, 121(01), 121–9.

Thomas, H R, Smith, G R and Wirsching, S M (1995) Understanding Defective Specifications. Journal of Construction Engineering and Management, 121(01), 55–65.

Varghese, K and O'Connor, J T (1995) Routing Large Vehicles on Industrial Construction Sites. Journal of Construction Engineering and Management, 121(01), 1–12.