DocumentCode
532313
Title
Research on Elman feedback Process Neural Network and its applications
Author
Li, Tian
Author_Institution
Coll. of Inf. & Technol., Heilongjiang Bayi Agric. Univ., Daqing, China
Volume
7
fYear
2010
fDate
22-24 Oct. 2010
Abstract
To address the drawbacks of slow convergenceand low accuracy of Double Parallel Feed-forward ProcessNeural Networks with output as function, an Elman-stylefeedback process neural network model with output as function is proposed. The learning algorithm of this model is given and the effectiveness of this model is proved by a non-linear system identification problem. .
Keywords
feedback; identification; learning (artificial intelligence); neural nets; elman feedback process neural network; learning algorithm; nonlinear system identification problem; Neurons; Elman-style feedback process neural network; Learning algorithm; Time-varying function; component;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620320
Filename
5620320
Link To Document