Browsing by Subject "Neural Networks"

Now showing items 1-9 of 9

    • Article  

      Artificial Neural Nets in Computer-Aided Macro Motor Unit Potential Classification 

      Schizas, Christos N.; Pattichis, Constantinos S.; Schofield, I. S.; Fawcett, P. R.; Middleton, Lefkos T. (1990)
    • Conference Object  

      Artificial neural networks in forecasting minimum temperature 

      Schizas, Christos N.; Michaelides, Silas C.; Pattichis, Constantinos S.; Livesay, R. R. (Publ by IEE, 1991)
      Forcasting the minimum temperature(Tmin) is one of the most important operational practices carried out by Meteorological Services worldwide. The great interest in developing methods for more accurate predictions has led ...
    • Conference Object  

      Convergence analysis for a class of neural networks 

      Polycarpou, Marios M.; Ioannou, Petros A. (Publ by IEEE, 1992)
      Summary form only given, as follows. The authors consider the convergence issue that arises in the application of backpropagation algorithms in a special class of neural network architectures, referred to as structured ...
    • Article  

      Integrating caching techniques in CDNs using a classification approach 

      Pallis, George C.; Stamos, Kostas; Vakali, Athena I.; Thomos, Charilaos; Andreadis, Georgios (2008)
      Content Delivery Networks (CDNs) provide an efficient support for serving "resource-hungry" applications while minimizing the network impact of content delivery as well as shifting the traffic away from overloaded origin ...
    • Article  

      Isolating stock prices variation with neural networks 

      Draganova, C.; Lanitis, A.; Christodoulou, Chris C. (2009)
      In this study we aim to define a mapping function that relates the general index value among a set of shares to the prices of individual shares. In more general terms this is problem of defining the relationship between ...
    • Article  

      Learning and Convergence Analysis of Neural-Type Structured Networks 

      Polycarpou, Marios M.; Ioannou, Petros A. (1992)
      A special class of feedforward neural networks, referred to as structured networks, has recently been introduced as a method for solving matrix algebra problems in an inherently parallel formulation. In this paper we present ...
    • Conference Object  

      Learning techniques for structured networks 

      Polycarpou, Marios M.; Ioannou, Petros A. (Publ by American Automatic Control Council, 1991)
      A convergence analysis is presented for the training of structured networks. Since the learning techniques that are used in structured networks are the same as the ones used in training of neural networks, the issue of ...
    • Conference Object  

      Neural networks in computer aided clinical electromyography 

      Schizas, Christos N.; Pattichis, Constantinos S.; Livesay, R. R.; Middleton, Lefkos T. (Publ by IEEE, 1991)
      In concentric needle electromyography, quantitative measurements are applied on the motor unit action potentials, which are recorded from the biceps muscle of normal subjects and patients suffering from neuromuscular ...
    • Conference Object  

      Sensitivity analysis of artificial neural networks: Case study in clinical electromyography 

      Pattichis, Constantinos S.; Charalambous, Chris; Middleton, Lefkos T. (Publ by IEEE, 1991)
      The usefulness of artificial neural networks (ANNs) trained with the momentum backpropagation and the conjugate gradient backpropagation (CGBP) learning algorithms in the classification of electromyography (EMG) data has ...