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M.J. Mawdesley and V. Carr

Department of Civil Engineering, University of Nottingham, Nottingham, England

doi:10.4203/ccp.16.3.1

M.J. Mawdesley, V. Carr, "Artificial Neural Networks for Construction Project Planning", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 39-46, 1993. doi:10.4203/ccp.16.3.1

Abstract

The aim of the work described in this paper is to investigate the possibility of using Artificial Neural Networks (ANNs) to produce Project Planning Networks (PPNs) for construction projects. The fundamental information which is assumed to be available is a list of activities for the project which might be produced using automated techniques but which is most likely to be provided by project planners. The paper describes the model which has been developed and the experiments run on it; it also presents the results obtained so far. The problems which have arisen are discussed and potential solutions to them are proposed.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 16 NEURAL NETWORKS & COMBINATORIAL OPTIMIZATION IN CIVIL & STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and A.I. Khan Paper III.1 Artificial Neural Networks for Construction Project Planning M.J. Mawdesley and V. Carr Department of Civil Engineering, University of Nottingham, Nottingham, England doi:10.4203/ccp.16.3.1 purchase the full-text of this paper Full Bibliographic Reference for this paper M.J. Mawdesley, V. Carr, "Artificial Neural Networks for Construction Project Planning", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 39-46, 1993. doi:10.4203/ccp.16.3.1 Abstract The aim of the work described in this paper is to investigate the possibility of using Artificial Neural Networks (ANNs) to produce Project Planning Networks (PPNs) for construction projects. The fundamental information which is assumed to be available is a list of activities for the project which might be produced using automated techniques but which is most likely to be provided by project planners. The paper describes the model which has been developed and the experiments run on it; it also presents the results obtained so far. The problems which have arisen are discussed and potential solutions to them are proposed. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £34 +P&P)
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