Now showing items 1-4 of 4

  • Analysis of Recurrent Analog Neural Networks 

    Tobes, Z.; Raida, Zbyněk (Společnost pro radioelektronické inženýrství, 1998-06)
    In this paper, an original rigorous analysis of recurrent analog neural networks, which are built from opamp neurons, is presented. The analysis, which comes from the approximate model of the operational amplifier, reveals ...
  • Block Algorithms for the Control of Adaptive Antenna Arrays 

    Tobes, Z. (Společnost pro radioelektronické inženýrství, 1995-09)
    Presented paper deals with the reduction of computational requirements of gradient algorithms for the control of adaptive antenna arrays. Reduction of arithmetical complexity is reached here by the application of a block ...
  • Improvements of Analog Neural Networks Based on Kalman Filter 

    Tobes, Z.; Raida, Zbyněk (Společnost pro radioelektronické inženýrství, 2002-04)
    In the paper, original improvements of recurrent analog neural networks, which are based on Kalman filter, are presented. These improvements eliminate some disadvantages of the classical Kalman neural network and enable a ...
  • Use of the Analog Neural Networks in the Adaptive Antenna Control Systems 

    Tobes, Z.; Raida, Zbyněk (Společnost pro radioelektronické inženýrství, 2002-09)
    In the paper, original control system of adaptive antennas, which is based on Kalman filter, is presented and compared with earlier approaches to this problem. The designed control circuit eliminates some disadvantages of ...