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J. Christian and A.N. Pandeya

Department of Civil Engineering, University of New Brunswick, Fredericton, Canada

doi:10.4203/ccp.34.5.3

J. Christian, A.N. Pandeya, "Life Time Costs for Facilities", in B.H.V. Topping, (Editor), "Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 101-105, 1995. doi:10.4203/ccp.34.5.3

Abstract

Research was conducted by the Construction Engineering Group at the University of New Brunswick to analyze and predict the operating and maintenance costs of a number of facilities. The design and construction of the facilities were different in many ways although the facilities served a similar function. Differences were observed in the operating and maintenance costs. The paper describes the elicitation and analysis of data and knowledge concerning the total ownership costs of the facilities. Problems encountered using regression analyses, neural networks and the creation of a prototype expert system in attempting to generate cost - time profiles to predict operating and maintenance costs are also briefly described.

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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: 34 DEVELOPMENTS IN NEURAL NETWORKS AND EVOLUTIONARY COMPUTING FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping Paper V.3 Life Time Costs for Facilities J. Christian and A.N. Pandeya Department of Civil Engineering, University of New Brunswick, Fredericton, Canada doi:10.4203/ccp.34.5.3 purchase the full-text of this paper Full Bibliographic Reference for this paper J. Christian, A.N. Pandeya, "Life Time Costs for Facilities", in B.H.V. Topping, (Editor), "Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 101-105, 1995. doi:10.4203/ccp.34.5.3 Abstract Research was conducted by the Construction Engineering Group at the University of New Brunswick to analyze and predict the operating and maintenance costs of a number of facilities. The design and construction of the facilities were different in many ways although the facilities served a similar function. Differences were observed in the operating and maintenance costs. The paper describes the elicitation and analysis of data and knowledge concerning the total ownership costs of the facilities. Problems encountered using regression analyses, neural networks and the creation of a prototype expert system in attempting to generate cost - time profiles to predict operating and maintenance costs are also briefly described. 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 £55 +P&P)
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