Computational Technology Resources - CCP

, "Roles, Benefits and Objectives of Neural Networks in Building Construction Project Practice", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 53-59, 1993. doi:10.4203/ccp.16.3.3

Abstract

Applications of AI are widening our understanding with regard to modelling techniques and resultant applications. This also covers building construction research where, experts systems, neural networks and robotics have been sources of steadily increasing research and development efforts. However, apart from the existing technical documentation, very little has been written about the underlying reasons for applications of AI being adopted or ignored by potential users. The objective of this paper is to present a perspective for the development of AI applications and, particularly, neural networks for construction. Also the efforts of the Technical Research Centre of Finland - W to bring applications of neural networks in the briefing and initial design stages of new building construction projects are briefly presented. Of VTT's efforts, a neural network application named E-Net for estimating energy consumption of buildings is described in greater detail.

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)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
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.3 Roles, Benefits and Objectives of Neural Networks in Building Construction Project Practice K. Kähkönen and J. Pallas Technical Research Centre of Finland - VTT, Laboratory for Urban Planning and Building Design, Espoo, Finland doi:10.4203/ccp.16.3.3 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Roles, Benefits and Objectives of Neural Networks in Building Construction Project Practice", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 53-59, 1993. doi:10.4203/ccp.16.3.3 Abstract Applications of AI are widening our understanding with regard to modelling techniques and resultant applications. This also covers building construction research where, experts systems, neural networks and robotics have been sources of steadily increasing research and development efforts. However, apart from the existing technical documentation, very little has been written about the underlying reasons for applications of AI being adopted or ignored by potential users. The objective of this paper is to present a perspective for the development of AI applications and, particularly, neural networks for construction. Also the efforts of the Technical Research Centre of Finland - W to bring applications of neural networks in the briefing and initial design stages of new building construction projects are briefly presented. Of VTT's efforts, a neural network application named E-Net for estimating energy consumption of buildings is described in greater detail. 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)
Back to top	©Civil-Comp Limited 2023 - terms & conditions