System identification by genetic algorithm
This paper presents a method for identifying systems through their input-output behavior and the genetic algorithm.
Engineering topics
Publications and source records attributed to Stubberud, A. R..
This paper presents a method for identifying systems through their input-output behavior and the genetic algorithm.
A new neural network architecture and a hardware implementable learning algorithm is proposed. The algorithm, called cascade error projection (CEP), handles lack of precision and circuit noise better than existing algorithms.
A detailed mathematical analysis is presented for a new learning algorithm termed cascade error projection (CEP) and a general learning frame work. This frame work can be used to obtain the cascade correlation learning algorithm by choosing a particular set of parameters.
Self adaptive control techniques for attitude control on Saturn 5 launch vehicles