Simple recurrent neural network: A neural network structure for control systems1
This paper describes: (i)a neural network structure referred as simple recurrent neural network (SRNN), (ii)a learning algorithm based on the optimization layer by layer method for the SRNN and (iii)the SRNN applications for controlling both a linear and a nonlinear dynamic system. The main objectives of the SRNN described are: (i) to show the capability for modeling inverse relationships of dynamic systems and (ii) to show that the SRNN needs just a few parameters in order to control dynamic systems. A comparison between the SRNN and some other neural network structures, based on the number of parameters and on the number of time steps required for controlling of dynamic systems, is given.
neural networks dynamic systems