The use of artificial neural networks in construction management: a review

References

• Asakawa , K. and Takagi , H. 1994 . Neural networks in Japan . Communication of the ACM , 37 ( 3 ) : 107 – 113 .
   Web of Science ®Google Scholar
• Bailey , D. and Thompson , D. 1990 . How to develop neural-network applications? . Al Expert , June
   Google Scholar
• Barron , A. R. and Barren , R. Statistical learning networks: a unifying view . Computing Science and Statistics: Proceeding of the 20th Symposium on the Interface . Edited by: Wegman , EJ. , Gantz , D. I. and Miller , J. J. pp. 192 – 202 .
   Google Scholar
• Boussabaine , A. H. Neural networks for productivity forecasting . Proceedings, of the 12th International Symposium on Automation and Robotics in Construction Conference . June , Poland. pp. 375 – 383 .
   Google Scholar
• Boussabaine , A. H. and Cheetham , D. W. Artificial neural networks as a tool for predicting project durations . Proceedings of the Association of Researchers in Construction Management . September , York. pp. 551 – 558 .
   Google Scholar
• Chao , L. and Skibniewski , M. J. 1994 . Estimating construction productivity: neural network based approach . ASCE Journal of Computing in CmI Engineering , 8 ( 2 ) : 221 – 233 .
   Web of Science ®Google Scholar
• Fausett , L. 1994 . Fundamentals nf Neural Networks: Architecture , Englewood Cliffs, NJ : Algorithms and Applications Prentice-Hall International .
   Google Scholar
• Flood , I. A neural network Approach to the sequencing ot construction tasks . Proceedings of the 6th International Symposium on Automation and Robotics in Construction . Austin, Tex, USA. pp. 204 – 211 .
   Google Scholar
• Flood , I. and Kartam , N. 1994a . Neural networks in civil engineering 1: principles and understanding . ASCE Journal of Computing in Civil Engineering , 8 ( 2 ) : 131 – 148 .
   Web of Science ®Google Scholar
• Flood , I. and Kartam , N. 1994b . Neural networks in civil engineering II: principles and systems and application . ASCE Journal of Computing m Civil Engineering , 8 ( 2 ) : 149 – 182 .
   Web of Science ®Google Scholar
• Hall , C. 1992 . Neural net technology ready for prime time?, Institute of Electrical and Electronic Engineers (IEEE) . Expert , December : 2 – 4 .
   Google Scholar
• Hammertrom , D. 1993 . Neural networks at work . IEEE Spect , June : 26 – 32 .
   Web of Science ®Google Scholar
• Hush , P. R. and Horne , B. G. 1993 . Progress in supervised neural networks . IEEE Signal Processing Journal , January : 8 – 39 .
   Web of Science ®Google Scholar
• Kamarthi , S. , Sanvido , V. and Kumara , R. 1992 . Neuroform - neural network system for vertical formwork selection . ASCE Journal of Computing in Civil Engineering , 6 ( 2 ) : 178 – 199 .
   Google Scholar
• Kohonen , T. 1988 . An introduction to neural computing . Neural Networks , 1 ( 1 ) : 3 – 16 .
   Web of Science ®Google Scholar
• Levin , E. , Tishby , N. and Solla , S. A. 1990 . A statistical approach to learning and generalization in layered neural networks . Proceedings of the IEEE , 78 ( 10 ) : 1568 – 1574 .
   Web of Science ®Google Scholar
• Lippman , R. P. 1987 . An introduction to computing with neural nets . IEEE, Ass, Press, Journal , 4 ( 2 ) : 4 – 22 .
   Google Scholar
• MacKay , D. J. C. 1992 . A practical Bayesian framework for back-propagation networks . Advances in Neural Information Processing Systems , 4 : 839 – 846 .
   Google Scholar
• Masters , T. 1993 . Practiced Neural Networks Recipes in C⁺⁺ , London : Academic Press .
   Google Scholar
• Mirza , B. and Fisher , D. J. 1994 . Neuromodex - neural network system for modular construction decision making . ASCE Journal of Computing in Civil Engineering , 8 ( 2 ) : 221 – 233 .
   Web of Science ®Google Scholar
• Moody , J. E. Note on generalization and regulation and architecture selection in non-linear learning systems. Neural networks for signal processing . Proceedings of the 1991 IEEE Workshop . Edited by: Juang , B. H. , Rung , S. Y. and Kamm , C. A. pp. 1 – 10 . IEEE Press .
   Google Scholar
• Moody , J. E. 1992 . The effective number of parameters: an analysis of generalization and regulation in non-linear systems . Advances in Neural Information Processing Systems , 4 : 847 – 854 .
   Google Scholar
• Nerrand , O. , Roussel-Rugot , P. , Personnaz , L. , Dreyfus , G. and Marcos , S. 1993 . Neural networks and non-linear adaptive filtering: unifying concepts and new algorithms . Neural Computations , 5 ( 2 ) : 165 – 199 .
   Web of Science ®Google Scholar
• Rumelhart , D. , Widrow , B. and Lehr , A. 1994 . The basic ideas in neural networks . Communication of the ACM , 37 ( 3 ) : 87 – 91 .
   Web of Science ®Google Scholar
• Widrow , B. , Rumelhan , D. and Lehr , A. 1994 . Neural networks: application in industry, business and science . Communication of the ACM , 37 ( 3 ) : 93 – 105 .
   Web of Science ®Google Scholar
• Williams , T. P. 1994 . Predicting changes in construction cost indexes using neural nerworks . ASCE Journal of Construction Engineering and Management , 120 ( 2 ) : 306 – 320 .
   Web of Science ®Google Scholar