Title :
A neural network algorithm using wavelets and autoregressive inputs for system identification
Author :
Hull, J.R. ; Pendse, H.P. ; Musavi, M.T.
Author_Institution :
Dept. of Chem. Eng., Maine Univ., Orono, ME, USA
Abstract :
A novel algorithm is presented for the determination of a wavelet neural network architecture with the addition of autoregressive external input. The network is constructed on the basis of a multiresolution grid and refined using a modified Gram-Schmidt orthogonalization. The network was tested against a one dimensional test function of varying frequency, an eight dimensional sunspot series, and a transfer function model of a U-tube heat exchanger
Keywords :
autoregressive processes; feedforward neural nets; heat exchangers; heat pumps; identification; neural net architecture; time series; 1D test function; Gram-Schmidt orthogonalization; autoregressive inputs; heat exchanger; multiresolution grid; neural network architecture; sunspot time series; system identification; wavelet neural network; Frequency; Heat transfer; Neural networks; Predictive models; Signal processing algorithms; Signal resolution; Space technology; System identification; Testing; Transfer functions;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616112
