Browsing by Subject "Neural networks"

Now showing items 1-20 of 116

    • Conference Object  

      Adaptive bounding techniques for stable neural control systems 

      Polycarpou, Marios M.; Ioannou, Petros A. (IEEE, 1995)
      This paper considers the design of stable adaptive neural controllers for uncertain nonlinear dynamical systems with unknown nonlinearities. The Lyapunov synthesis approach is used to develop state-feedback adaptive control ...
    • Article  

      Adaptive congestion control in ATM based networks: Quality of service and high utilisation 

      Pitsillides, Andreas; Lambert, J. (1997)
      To improve network utilisation and robustness for Asynchronous Transfer Mode (ATM) networks there is increasing evidence that reactive congestion controls are necessary. However the large bandwidth-delay product and the ...
    • Conference Object  

      Adaptive disturbance rejection for disk drives using neural networks 

      Levin, J.; Pérez Arancibia, N. O.; Ioannou, Petros A.; Tsao, T. -C (2008)
      This paper presents the experimental verification of an adaptive feedforward disturbance rejection scheme for hard disk drives. The control scheme is shown to reduce the error during track-following by as much as 11.8%. ...
    • Article  

      Adaptive mode-suppression and disturbance-rejection scheme with application to disk drives 

      Levin, J.; Ioannou, Petros A. (2009)
      The goal of a track-following controller for a disk drive is to maintain as close to perfect tracking as possible. Better tracking allows for more data to be stored on a single disk. There are several factors which make ...
    • Conference Object  

      Adaptive neural network imaging in medical systems 

      Pattichis, Constantinos S.; Pattichis, Marios S. (2001)
      Recent technological advances in medicine facilitated the development of sophisticated equipment enabling the better delivery of health care services. In parallel, artificial neural networks emerged as promising tools for ...
    • Article  

      Adaptive sliding mode control design for a hypersonic flight vehicle 

      Xu, H.; Mirmirani, M. D.; Ioannou, Petros A. (2004)
      A multi-input/multi-output adaptive sliding controller is designed and analyzed for the longitudinal dynamics of a generic hypersonic air vehicle. This vehicle model is nonlinear, multivariable, and unstable and includes ...
    • Article  

      AM-FM texture image analysis of the intima and media layers of the carotid artery 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Christodoulou, C. S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N.; Pattichis, Constantinos S. (2009)
      The purpose of this paper is to propose the use of amplitude modulation-frequency modulation (AM-FM) features for describing atherosclerotic plaque features that are associated with clinical factors such as intima media ...
    • Conference Object  

      Analysis of fluctuation-induced firing in the presence of inhibition 

      Christodoulou, Chris C.; Clarkson, Trevor G.; Bugmann, Guido; Taylor, John G. (IEEE, 2000)
      This paper examines the computational role of inhibition as it moves towards balancing concurrent excitation using the biologically-inspired Temporal Noisy-Leaky Integrator (TNLI) neuron model. The TNLI incorporates ...
    • Article  

      Application of abductive ILP to learning metabolic network inhibition from temporal data 

      Tamaddoni-Nezhad, A.; Chaleil, R.; Kakas, Antonis C.; Muggleton, S. (2006)
      In this paper we use a logic-based representation and a combination of Abduction and Induction to model inhibition in metabolic networks. In general, the integration of abduction and induction is required when the following ...
    • Conference Object  

      Application of artificial neural networks in the prediction of earnings 

      Falas, Tasos; Charitou, Andreas; Charalambous, Chris (IEEE, 1994)
      The feasibility of using artificial neural networks (ANNs) for predicting future earnings by stock market and capital market investors was evaluated. A multilayer perceptron feedforward neural network architecture with an ...
    • Article  

      Are Mental Contents Carried by Neural Vehicles? 

      Raftopoulos, Athanassios (Global Science & Technology Forum, 2017)
      Any discussion concerning representations in cognitive psychology and science assumes that mental representational contents are carried by brain representational vehicles. Recently Sedivy attacked the view that mental ...
    • Article  

      Artificial neural network learning: A comparative review 

      Neocleous, Costas K.; Schizas, Christos N. (2002)
      Various neural learning procedures have been proposed by different researchers in order to adapt suitable controllable parameters of neural network architectures. These can be from simple Hebbian procedures to complicated ...
    • Article  

      Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals 

      Moustra, M.; Avraamides, Marios N.; Christodoulou, Chris C. (2011)
      The aim of this study is to evaluate the performance of artificial neural networks in predicting earthquakes occurring in the region of Greece with the use of different types of input data. More specifically, two different ...
    • Article  

      Artificial neural networks for modelling the starting-up of a solar steam-generator 

      Kalogirou, Soteris A.; Neocleous, Costas K.; Schizas, Christos N. (1998)
      An experimental solar steam generator, consisting of a parabolic trough collector, a high-pressure steam circuit, and a suitable flash vessel has been constructed and tested in order to establish the thermodynamic performance ...
    • Conference Object  

      Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses 

      Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N. (2010)
      A large number of different neural network structures have been constructed, trained and tested to a large data base of pregnant women characteristics, aiming at generating a classifier-predictor for the presence of ...
    • Conference Object  

      Artificial neural networks in estimating marine propeller cavitation 

      Neocleous, Costas K.; Schizas, Christos N. (2002)
      Cavitation in marine propellers can be a serious problem that may result in severe deterioration in performance. This is particularly important in heavily loaded propellers, commonly encountered in small craft. Efforts ...
    • Conference Object  

      Artificial neural networks in marine propeller design 

      Neocleous, Constantinos C.; Schizas, Christos N. (IEEE, 1995)
      Various neural network systems were developed for examining propeller performance data that were derived experimentally. This study is aiming to establish an accurate mapping thus facilitating propeller selection during ...
    • Article  

      Artificial neural networks to investigate the importance and the sensitivity to various parameters used for the prediction of chromosomal abnormalities 

      Neocleous, Andreas C.; Nicolaides, Kypros H.; Syngelaki, A.; Neokleous, Kleanthis C.; Loizou, G.; Neocleous, Costas K.; Schizas, Christos N. (2012)
      A selection of artificial neural network models were built and implemented for systematically study the contribution and the sensitivity of the main influencing parameters as important contributing factors for the non-invasive ...
    • Conference Object  

      Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities 

      Neocleous, Costas K.; Nicolaides, Kypros H.; Neokleous, Kleanthis C.; Schizas, Christos N.; Neocleous, Andreas C. (2011)
      A systematic approach has been done, to investigate different neural network structures for the appraisal of the significance of the free b-human chorionic gonadotrophin (b-hCG) and the pregnancy associated plasma protein-A ...
    • Article  

      Assessment of stroke risk based on morphological ultrasound image analysis with conformal prediction 

      Lambrou, Alexandra; Papadopoulos, Harris; Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Pattichis, Marios S.; Gammerman, A.; Nicolaïdes, Andrew N. (2010)
      Non-invasive ultrasound imaging of carotid plaques allows for the development of plaque image analysis in order to assess the risk of stroke. In our work, we provide reliable confidence measures for the assessment of stroke ...