Title :
Research on Elman feedback Process Neural Network and its applications
Author_Institution :
Coll. of Inf. & Technol., Heilongjiang Bayi Agric. Univ., Daqing, China
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;
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
DOI :
10.1109/ICCASM.2010.5620320
