Now showing items 7-8 of 8

  • 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 ...
  • Selective dropout for deep neural networks. 

    Barrow, Erik; Eastwood, Mark; Jayne, Chrisina (Springer, 2016-09-29)
    BARROW, E., EASTWOOD, M. and JAYNE, C. 2016. Selective dropout for deep neural networks. Lecture notes in computer science, 9949, Neural information processing: Proceedings of 23rd International conference on neural information processing (ICONIP 2016), 16-21 October 2016, Kyoto, Japan. Cham: Springer [online], pages 519-528. Available from:
    Dropout has been proven to be an effective method for reducing overfitting in deep artificial neural networks. We present 3 new alternative methods for performing dropout on a deep neural network which improves the ...