Title :
Identification of a class of nonlinear systems using dynamic neural network structures
Author :
Yazdizadeh, A. ; Khorasani, K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
In this paper two dynamic neural network structures for identification of a class of nonlinear systems are introduced. It will be shown that the proposed structures are capable of representing the class of nonlinear systems considered. Moreover, selection criteria are proposed for specifying the fixed structural parameters of the networks
Keywords :
feedforward neural nets; identification; multilayer perceptrons; nonlinear systems; dynamic neural network structures; fixed structural parameters; identification; nonlinear systems; selection criteria; Computer networks; Delay effects; Filters; Multi-layer neural network; Neural networks; Neurons; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Structural engineering;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.611663
