Browsing by Subject "Learning Systems"

Now showing items 1-5 of 5

    • 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  

      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 ...