Now showing items 1-5 of 5

  • Artificial biochemical networks: a different connectionist paradigm. 

    Macleod, Christopher; Capanni, Niccolo Francesco (Springer. The original publication is available at www.springerlink.com http://dx.doi.org/10.1007/s10462-009-9149-y, 2010-02)
    MACLEOD, C. and CAPANNI, N. F., 2010. Artificial biochemical networks: a different connectionist paradigm. Artificial Intelligence Review , 33 (1/2), pp. 123-134.
    Connectionist models are usually based on Artificial Neural Networks. However, there is another route towards Parallel Distributed Processing. This is by considering the origins of the intelligence displayed by the single ...
  • An artificially-intelligent biomeasurement system for total hip arthroplasty patient rehabilitation. 

    Law, Ewan James (Robert Gordon University School of Health Sciences, 2012-11)
    This study concerned the development and validation of a hardware and software biomeasurement system, which was designed to be used by physiotherapists, general practitioners and other healthcare professionals. The ...
  • Failure prognostic schemes and database design of a software tool for efficient management of wind turbine maintenance. 

    Sinha, Yashwant; Steel, John A. (Multi-Science / Sage http://dx.doi.org/10.1260/0309-524X.39.4.453, 2015)
    SINHA, Y. and STEEL, J., 2015. Failure prognostic schemes and database design of a software tool for efficient management of wind turbine maintenance. Wind Engineering, Vol 39 (4), pp. 453-478.
    Wind Turbines require numerous and varied types of maintenance activities throughout their lifespan, the frequency of which increases with years in operation. At present the proportion of maintenance cost to the total cost ...
  • 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)
    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 ...