DocumentCode
1749248
Title
Unknown order process emulation
Author
Volovici, Daniel ; Breazu, Macarie ; Mihalache, Adrian
Author_Institution
Dept. of Comput. Sci., Univ. Lucian Blaga of Sibiu, Romania
Volume
2
fYear
2001
fDate
2001
Firstpage
1318
Abstract
Approaches the emulation problem using feedforward neural networks of single input single output (SISO) processes, applying a backpropagation method with a higher convergence rate. In this kind of application, difficult problems appear when the system´s order is a priori unknown. A search through the SISO processes space is proposed, aiming to find a favorable neural emulator over the training examples set
Keywords
backpropagation; linear systems; neurocontrollers; nonlinear control systems; SISO processes; backpropagation method; feedforward neural networks; neural emulator; search method; single input single output processes; unknown order process emulation; Backpropagation; Computer science; Control systems; Emulation; Equations; Feedforward neural networks; Industrial training; Multi-layer neural network; Neural networks; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939552
Filename
939552
Link To Document