Browsing by Author "Perera, DC"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    item: Conference-Full-text
    Annebot – an evolutionary artificial neural network framework.
    (Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa., 2011-11) Mathotaarachchi, MSS; Perera, DC; Udawatte, L; Perera, S; Weerawardhana, S; Madusanka, A; Dilrukshi, T; Aravinda, H
    A novel method for selecting the appropriate architecture and learning rule of an artificial neural network for a given application is discussed in this paper. Evolutionary Artificial Neural Networks (EANN) use the adaptation capabilities of genetic algorithms in which the natural selection process is used to attain the optimum network structure and learning algorithm for a specific task. ANNEbot is a framework which allows the combined powers of learning and adaptation of EANNs to be applied in various machine learning tasks. The framework was tested on the Iris Classification problem and the Wisconsin Breast Cancer Diagnosis problem, both of which provided results with above 90% accuracy. ANNEbot was also successfully applied on a robotic application for obstacle avoidance.
  • Thumbnail Image
    item: Conference-Full-text
    Gem industry & its development
    (Department of Mining 8c Mineral Engineering, 1984-05-28) Perera, DC
    Sri Lanka is endowed with a galaxy of Gem minerals. This great opportunity provided by natural processes should be harnessed to the maximum to bring much needed foreign exchange to Sri Lanka while generating job opportunities vast number of people in Sri Lanka. Hence the need to streamline this industry.