Learn More
This paper describes a neural system which helps to make the current investment decisions. Some well known financial indicators usually considered by investors are inputs of the system. The basic problem is to select appropriately the indicators which would give the best predictor. Two methods are used and compared: the combination method and the(More)
This paper discusses the possibility of using a Jordan neural network as a model of dynamic systems and it presents a Model Predictive Control (MPC) algorithm in which such a network is used for prediction. The Jordan network is a simple recurrent neural structure in which only one value of the process input signal (from the previous sampling instant) and(More)
  • 1