Now showing items 1-9 of 9

  • An approach to evolvable neural functionality. 

    Capanni, Niccolo Francesco; Macleod, Christopher; Maxwell, Grant M. (Springer, 2003)
    CAPANNI, N., MACLEOD, C. and MAXWELL, G., 2003. An approach to evolvable neural functionality. In: O. KAYNAK, E. ALPAYDIN, E. OJA and L. XU, eds. Artificial neural networks and neural information processing – supplementary proceedings ICANN/ICONIP 2003. 26-29 June 2003. Istanbul, Turkey. pp. 220- 223.
    This paper outlines a neural model, which has been designed to be flexible enough to assume most mathematical functions. This is particularly useful in evolutionary networks as it allows the network complexity to increase ...
  • Dealing with construction cost overruns using data mining. 

    Ahiaga-Dagbui, Dominic D.; Smith, Simon D. (Taylor & Francis. http://wwww.tandfonline.com/10.1080/01446193.2014.933854, 2014-08)
    AHIAGA-DAGBUI, D. D. and SMITH, S. D., 2014. Dealing with construction cost overruns using data mining. Construction Management and Economics, 32 (7-8), pp. 682-694.
    One of the main aims of any construction client is to procure a project within the limits of a predefined budget. However, most construction projects routinely overrun their cost estimates. Existing theories on ...
  • Evolution and devolved action: towards the evolution of systems. 

    Macleod, Christopher; McMinn, David; Reddipogu, Ann; Capanni, Niccolo Francesco; Maxwell, Grant M. (Robert Gordon University, 2001)
    MACLEOD, C., MCMINN, D., REDDIPOGU, A. B., CAPANNI, N. F. and MAXWELL, G. M., 2001. Evolution and devolved action: towards the evolution of systems. In: Appendix B of MCMINN, D. Using evolutionary artificial neural networks to design hierarchical animat nervous systems, Ph. D. thesis. Aberdeen : Robert Gordon University.
    The Artificial Neural Networks group at the Robert Gordon University has, over the last six years, built up considerable knowledge and practical experience in Evolutionary Artificial Neural Networks. This experience ...
  • The evolution of modular artificial neural networks 

    Muthuraman, Sethuraman (The Robert Gordon University School of Engineering, 2005)
    This thesis describes a novel approach to the evolution of Modular Artificial Neural Networks. Standard Evolutionary Algorithms, used in this application include: Genetic Algorithms, Evolutionary Strategies, Evolutionary ...
  • The functionality of spatial and time domain artificial neural models 

    Capanni, Niccolo Francesco (The Robert Gordon University School of Engineering, 2006-08)
    This thesis investigates the functionality of the units used in connectionist Artificial Intelligence systems. Artificial Neural Networks form the foundation of the research and their units, Artificial Neurons, are first ...
  • The synthesis of artificial neural networks using single string evolutionary techniques. 

    Macleod, Christopher (The Robert Gordon University School of Electronic and Electrical Engineering, 1999)
    The research presented in this thesis is concerned with optimising the structure of Artificial Neural Networks. These techniques are based on computer modelling of biological evolution or foetal development. They are ...
  • Temporal patterns in artificial reaction networks. 

    Gerrard, Claire E.; McCall, John; Coghill, George M.; Macleod, Christopher (Springer Verlag. http://www.springerlink.com/content/?k=(lncs+7552)+AND+(claire+gerrard), 2012-09)
    GERRARD, C., MCCALL, J., COGHILL, G. M. and MACLEOD, C., 2012. Temporal patterns in artificial reaction networks. In: A. E. P. VILLA et al (eds.) Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd Annual Conference on Artificial Neural Networks. 11-14 September 2012. Berlin: Springer. Pp. 1-8.
    The Artificial Reaction Network (ARN) is a bio-inspired connection-ist paradigm based on the emerging field of Cellular Intelligence. It has proper-ties in common with both AI and Systems Biology techniques including ...
  • Using evolutionary artificial neural networks to design hierarchical animat nervous systems. 

    McMinn, David (The Robert Gordon University School of Engineering, 2001-12)
    The research presented in this thesis examines the area of control systems for robots or animats (animal-like robots). Existing systems have problems in that they require a great deal of manual design or are limited to ...
  • Using orthogonal arrays to train artificial neural networks. 

    Viswanathan, Alagappan (The Robert Gordon University School of Engineering, 2005-10)
    The thesis outlines the use of Orthogonal Arrays for the training of Artificial Neural Networks. Such arrays are popularly used in system optimisation and are known as Taguchi Methods. The chief advantage of the method is ...