Stochastic Neura1 Learning in Identification and State Estimation

This paper investigates the application of stochastic neural networks to state estimation and system identification. The state estimation problem is approached by using a neural network and then a bank of Kalman filters. Also the system identification problem is solved by a neural network and by least squares identification.