ASA 125th Meeting Ottawa 1993 May

1pSA9. Complex process controlling using wavelets.

A. Unal

F. Ercal

University of Missouri---Rolla, Dept. of Comput. Sci., Rolla, MO 65401

Complex process controlling requires a crucial reduction in the number of robust discriminitating features. The use of wavelet transformations with other artificial neural network-based methods will be given using real data.