Title :
An artificial neural minimum-variance estimator
Author :
Zhao, Xiaofeng ; Mendel, Jerry M.
Author_Institution :
Signal & Image Process, Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Results are presented of a study into one aspect of the application of artificial neural nets to the continuous working mode. For the proposed configuration, the authors give sufficient conditions for the existence and uniqueness of the steady-state solution. They show the feasibility of the choice of the proposed recurrent net for solving a quadratic programming problem using an analog working mode. The authors validate the theory for minimum-variance deconvolution.<>
Keywords :
neural nets; quadratic programming; statistical analysis; analog working mode; artificial neural minimum-variance estimator; continuous working mode; minimum-variance deconvolution; neural nets; quadratic programming; solution existence; solution uniqueness; steady-state solution; Neural networks; Quadratic programming; Statistics;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23965
