Now showing items 4-5 of 5

  • My cost runneth over: data mining to reduce construction cost overruns. 

    Ahiaga-Dagbui, Dominic D.; Smith, Simon D. (Association of Researchers in Construction Management (ARCOM) http://www.arcom.ac.uk/-docs/proceedings/ar2013-0559-0568_Ahiaga-Dagbui_Smith.pdf, 2013-09)
    AHIAGA-DAGBUI, D. D. and SMITH, S. D., 2013. My cost runneth over: data mining to reduce construction cost overruns. In S. D. SMITH and D. D. AHIAGA-DAGBUI, eds. Proceedings 29th Annual ARCOM Conference. 2-4 September 2013. Nottingham: Association of Researchers in Construction Management (ARCOM). Pp. 559-568.
    Most construction projects overrun their budgets. Among the myriad of explanations giving for construction cost overruns is the lack of required information upon which to base accurate estimation. Much of the financial ...
  • Real time evolutionary algorithms in robotic neural control systems. 

    Jagadeesan, Ananda Prasanna (The Robert Gordon University School of Engineering, 2006)
    JAGADEESAN, A., MAXWELL, G. and MACLEOD, C., 2005. Evolutionary algorithms for real-time artificial neural netowrk training. In: Proceedings of the International Conference of Neural Networks (ICANN 2005), Warsaw, Poland, Part II, pp. 73-78.
    This thesis describes the use of a Real-Time Evolutionary Algorithm (RTEA) to optimise an Artificial Neural Network (ANN) on-line (in this context “on-line” means while it is in use). Traditionally, Evolutionary Algorithms ...