Now showing items 9-14 of 14

  • 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 ...
  • A sensory system for robots using evolutionary artificial neural networks. 

    Reddipogu, Ann (Robert Gordon University School of Engineering., 2006-08)
    The thesis presents the research involved with developing an Intelligent Vision System for an animat that can analyse a visual scene in uncontrolled environments. Inspiration was drawn both from Biological Visual Systems ...
  • 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 ...
  • 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)
    VISWANATHAN, A., MACLEOD, C., MAXWELL, G. and KALIDINDI, S., 2005. Training neural networks using Taguchi methods: overcoming interaction problems. In: ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II. Springer. pp. 103-108
    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 ...
  • Vision systems for a mobile robot based on line detection using the Hough Transform and artificial neural networks. 

    Damaryam, Gideon Kanji (The Robert Gordon University School of Engineering, 2008-11)
    Damaryam, G., & Dunbar, G. (2005). A Mobile Robot Vision System for Self navigation using the Hough Transform and neural networks. In: Proceedings of EOS Conference on Industrial Imaging and Machine Vision, Munich, 13-15 June, pp. 72.
    This project contributes to the problem of mobile robot self-navigation within a rectilinear framework based on visual data. It proposes a number of vision systems based on detection of straight lines in images captured ...